From a2b442297d58e0ba754797add491b2c46c901cdc Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Fri, 2 Aug 2019 21:40:48 -0700 Subject: [PATCH 01/19] Update application architecture guide to include load balancing choices on Azure --- docs/guide/images/load-balancing-choices.png | Bin 0 -> 192492 bytes .../images/load-balancing-decision-tree.svg | 1892 +++++++++++++++++ docs/guide/index.md | 2 + .../technology-choices/compute-comparison.md | 2 +- .../load-balancing-decision-tree.md | 43 + .../load-balancing-overview.md | 58 + docs/toc.yml | 6 + 7 files changed, 2002 insertions(+), 1 deletion(-) create mode 100644 docs/guide/images/load-balancing-choices.png create mode 100644 docs/guide/images/load-balancing-decision-tree.svg create mode 100644 docs/guide/technology-choices/load-balancing-decision-tree.md create mode 100644 docs/guide/technology-choices/load-balancing-overview.md diff --git a/docs/guide/images/load-balancing-choices.png b/docs/guide/images/load-balancing-choices.png 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+ + + + + + + + + + + + + + + + + + + + Are you running a web (HTTP/HTTPS) application? + + Dynamic connector.5 + No + + + + + No + + Start/End.2014 + Is your application internet facing? + + + + + + + + + + + + + + + + + + + + Is your application internet facing? + + Process.2005 + Azure Load Balancer + + + + + + + + + + + + + + + + + + + Azure Load Balancer + + Process.2006 + Traffic Manager + Azure Load Balancer + + + + + + + + + + + + + + + + + + + Traffic Manager + Azure Load Balancer + + Dynamic connector.11 + Yes + + + + + Yes + + Start/End.2017 + Does your application need global load balancing i.e. is it d... + + + + + + + + + + + + + + + + + + + + Does your application need global load balancing i.e. is it deployed across multiple regions? + + Dynamic connector.13 + Yes + + + + + Yes + + Start/End.2012 + Does your application require performance acceleration? + + + + + + + + + + + + + + + + + + + + Does your application require performance acceleration? + + Start/End.2011 + Do you need SSL offload or per HTTP/HTTPS request application... + + + + + + + + + + + + + + + + + + + + Do you need SSL offload or per HTTP/HTTPS request application layer processing within virtual network (VNET)? + + Dynamic connector.24 + Yes + + + + + Yes + + Process.2008 + Azure Front Door + Application Gateway (IaaS or PaaS) + + + + + + + + + + + + + + + + + + + Azure Front Door + Application Gateway (IaaS or PaaS) + + Process.2010 + Azure Front Door + Azure Load Balancer (IaaS) + + + + + + + + + + + + + + + + + + + Azure Front Door + Azure Load Balancer (IaaS) + + Dynamic connector.1004 + Yes + + + + + Yes + + Dynamic connector.1005 + No + + + + + No + + Process.2007 + Application Gateway (IaaS or PaaS) + + + + + + + + + + + + + + + + + + + Application Gateway (IaaS or PaaS) + + Start/End.2016 + Is your application internet facing? + + + + + + + + + + + + + + + + + + + + Is your application internet facing? + + Dynamic connector.1012 + Yes + + + + + Yes + + Dynamic connector.1013 + No + + + + + No + + Process.2009 + Azure Front Door + PaaS (e.g. App Service) + + + + + + + + + + + + + + + + + + + Azure Front Door + PaaS (e.g. App Service) + + Start/End.2013 + Does your application need global load balancing i.e. is it d... + + + + + + + + + + + + + + + + + + + + Does your application need global load balancing i.e. is it deployed across multiple regions? + + Dynamic connector.2001 + Yes + + + + + Yes + + Dynamic connector.2002 + No + + + + + No + + Dynamic connector.2004 + Yes + + + + + Yes + + Dynamic connector.2018 + No + + + + + No + + Start/End.2019 + PaaS or IaaS application? + + + + + + + + + + + + + + + + + + + PaaS or IaaS application? + + Dynamic connector.2020 + No + + + + + No + + Dynamic connector.2021 + PaaS + + + + + PaaS + + Dynamic connector.2022 + IaaS + + + + + IaaS + + Process.2023 + Application Gateway (IaaS or PaaS) + + + + + + + + + + + + + + + + + + + Application Gateway (IaaS or PaaS) + + Dynamic connector.2024 + No + + + + + No + + Branch: return.2025 + + + + + + + + + + + Branch: return.2026 + + + + + + + + + + + Branch: return.2027 + + + + + + + + + + + Sheet.1014 + + Sheet.1015 + + + + Sheet.1016 + + + + Sheet.1017 + + + + Sheet.1018 + + + + + Sheet.26 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Application Gateway (New) (nc).1128 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Application Gateway (New) (nc).2029 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Dynamic connector.2030 + + + + Application Gateway (New) (nc).2031 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Sheet.2032 + + Sheet.2033 + + + + Sheet.2034 + + + + + Sheet.2035 + + Sheet.2036 + + + + Sheet.2037 + + + + + Sheet.2038 + + Sheet.2039 + + + + Sheet.2040 + + + + Sheet.2041 + + + + Sheet.2042 + + + + + Dynamic connector.2043 + + + + Sheet.2044 + + Sheet.2045 + + + + Sheet.2046 + + + + Sheet.2047 + + + + Sheet.2048 + + + + + Sheet.2049 + + Sheet.2050 + + + + Sheet.2051 + + + + + Dynamic connector.2052 + + + + Sheet.27 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Dynamic connector.2053 + + + + diff --git a/docs/guide/index.md b/docs/guide/index.md index 3defbc48cb8..327cd4ceb74 100644 --- a/docs/guide/index.md +++ b/docs/guide/index.md @@ -74,6 +74,8 @@ Learn more: - [Choosing a compute service](./technology-choices/compute-overview.md) - [Choosing a data store](./technology-choices/data-store-overview.md) +Depending on your application's requirements, there is a high likelihood of a requirement for choosing the right load balancing services for your architecture. *Load balancing* defines how the traffic for your application will be distributed to your compute service. Learn more at [Choosing a load balancing service](./technology-choices/load-balancing-overview.md) + ### Design principles We have identified ten high-level design principles that will make your application more scalable, resilient, and manageable. These design principles apply to any architecture styles. Throughout the design process, keep these ten high-level design principles in mind. Then consider the set of best practices for specific aspects of the architecture, such as auto-scaling, caching, data partitioning, API design, and others. diff --git a/docs/guide/technology-choices/compute-comparison.md b/docs/guide/technology-choices/compute-comparison.md index 3b80903af86..0ea1d8d028a 100644 --- a/docs/guide/technology-choices/compute-comparison.md +++ b/docs/guide/technology-choices/compute-comparison.md @@ -68,7 +68,7 @@ Notes | Criteria | Virtual Machines | App Service | Service Fabric | Azure Functions | Azure Kubernetes Service | Container Instances | Azure Batch | |----------|-----------------|-------------|----------------|-----------------|-------------------------|----------------|-------------| | SLA | [SLA for Virtual Machines][sla-vm] | [SLA for App Service][sla-app-service] | [SLA for Service Fabric][sla-sf] | [SLA for Functions][sla-functions] | [SLA for AKS][sla-acs] | [SLA for Container Instances](https://azure.microsoft.com/support/legal/sla/container-instances/) | [SLA for Azure Batch][sla-batch] | -| Multi region failover | Traffic manager | Traffic manager | Traffic manager, Multi-Region Cluster | Not supported | Traffic manager | Not supported | Not Supported | +| Multi region failover | Azure Front Door (HTTP/HTTPS)
Traffic manager (Other) | Azure Front Door | Azure Front Door (HTTP/HTTPS)
Traffic manager (Other), Multi-Region Cluster | Azure Front Door | Azure Front Door (HTTP/HTTPS)
Traffic manager (Other) | Not supported | Not Supported | ## Other diff --git a/docs/guide/technology-choices/load-balancing-decision-tree.md b/docs/guide/technology-choices/load-balancing-decision-tree.md new file mode 100644 index 00000000000..d10b54c479f --- /dev/null +++ b/docs/guide/technology-choices/load-balancing-decision-tree.md @@ -0,0 +1,43 @@ +--- +title: Decision tree for load balancing in Azure +titleSuffix: Azure Application Architecture Guide +description: A flowchart for selecting load balancing services in Azure. +author: sharadag +ms.date: 05/25/2019 +ms.topic: guide +ms.service: architecture-center +ms.subservice: reference-architecture +ms.custom: sharad4u +--- + +# Decision tree for load balancing in Azure + +Azure provides you with a variety of different load balancing solutions that you can leverage to distribute traffic between your different application endpoints. This distribution of traffic could be across your virtual machines, containers, Kubernetes clusters, App Services, in-region within a virtual network or across different Azure regions. The following flowchart will help you to choose a load balancing solution for your application. The flowchart guides you through a set of key decision criteria to reach a recommendation. + +**Treat this flowchart as a starting point.** Every application has unique requirements, so use the recommendation as a starting point. Then perform a more detailed evaluation, looking at aspects such as: + +- Feature set +- [Service limits](/azure/azure-subscription-service-limits) +- [Cost](https://azure.microsoft.com/pricing/) +- [SLA](https://azure.microsoft.com/support/legal/sla/) +- [Regional availability](https://azure.microsoft.com/global-infrastructure/services/) +- IT/DevOps ecosystem and team skills + +If your application consists of multiple workloads, evaluate each workload separately. A complete solution may incorporate two or more load balancing solutions. + +## Flowchart + +![Decision tree for load balancing in Azure](../images/load-balancing-decision-tree.svg) + +## Definitions + +- **"Internet facing"** applications are the ones that are publicly accessible from the internet. This is an application architecture choice that is common for consumer as well as business applications. As a best practice, application owners apply restrictive access policies or protect the application by setting up offerings like web application firewall and DDoS protection. + +- **PaaS** Platform as a service (PaaS) is a complete development and deployment environment in the cloud, with resources that enable you to deliver everything from simple cloud-based apps to sophisticated, cloud-enabled enterprise applications. PaaS is designed to support the complete web application lifecycle: building, testing, deploying, managing, and updating. PaaS allows you to avoid the expense and complexity of buying and managing software licenses, the underlying application infrastructure and middleware or the development tools and other resources. You manage the applications and services you develop, and the cloud service provider typically manages everything else. + +- **IaaS** Infrastructure as a service (IaaS) is an instant computing infrastructure, provisioned and managed over the internet. IaaS quickly scales up and down with demand, letting you pay only for what you use. It helps you avoid the expense and complexity of buying and managing your own physical servers and other datacenter infrastructure. Azure, manages the infrastructure, while you purchase, install, configure, and manage your own software—operating systems, middleware, and applications. + + +## Next steps + +For additional context on these different load balancing services, see [Overview of load balancing options in Azure](./load-balancing-overview.md). diff --git a/docs/guide/technology-choices/load-balancing-overview.md b/docs/guide/technology-choices/load-balancing-overview.md new file mode 100644 index 00000000000..f701ee6e0a9 --- /dev/null +++ b/docs/guide/technology-choices/load-balancing-overview.md @@ -0,0 +1,58 @@ +--- +title: Overview of Azure compute options +titleSuffix: Azure Application Architecture Guide +description: An overview of Azure compute options. +author: MikeWasson +ms.date: 06/13/2018 +ms.topic: guide +ms.service: architecture-center +ms.subservice: reference-architecture +ms.custom: seojan19 +--- + +# Overview of load balancing options in Azure + +The term *load balancing* refers to the distribution of workloads across multiple computing resources that your application runs on. Load balancing aims to optimize resource use, maximize throughput, minimize response time, and avoid overload of any single resource. + +## Overview + +Azure provides multiple global and regional services for managing how your application's traffic is distributed and load balanced: **Traffic Manager**, **Azure Front Door**, **Application Gateway**, and **Azure Load Balancer**. Along with Azure’s many regions and zonal architecture, using these services together enable you to build robust, scalable high-performance applications. + +![Load balancing choices in Azure](../images/load-balancing-choices.png) + +These services are broken into two categories: + +- **Global load balancing services** such as Traffic Manager and Front Door distribute traffic from your end users across your regional backends, across clouds or even your hybrid on-premises services. Global load balancing routes your traffic to your closest service backend and reacts to changes in service reliability or performance to maintain always-on, maximal performance for your users. You can think of global load balancing services as things that load balance between your application stamps or endpoints or scale-units hosted across different regions/geographies. + +- **Regional load balancing services** such as Standard Load Balancer or Application Gateway provide the ability to distribute traffic within virtual networks (VNETs) across your virtual machines (VMs) or zonal service endpoints within a region. You can think of regional load balancers as systems that load balance between your virtual machines or containers or clusters within a region in a virtual network. + +Correspondingly, there is another way of pivoting these different load balancers based on the application workload type that they can handle: + +- **HTTP/HTTPS load balancing services** such as Front Door and Application Gateway are layer 7 load balancers, that is, can only cater to HTTP/HTTPS traffic. This basically allows these services to offer layer 7 benefits like SSL offload, web application firewall, path-based load balancing, session affinity and so on. + +- **Non-HTTP/S load balancing services** such as Traffic Manager and Load Balancer which do not work at layer 7. Traffic Manager is a DNS based load balancing service and so is limited to load balancing only at domain level. Also, being at the DNS level, it cannot perform as fast fail-over as Front Door because of common challenges around DNS caching and systems not honoring DNS TTLs. Load Balancer operates for TCP and UDP traffic and offers in-region load balancing with low latency and high throughput for TCP/UDP workloads. + +Combining global and regional services in your application provides an end-to-end reliable, performant, and secure way to route traffic to and from your users to your IaaS, PaaS, or on-premises services. In the next section, we describe each of these service in a nutshell to understand the key differences. + +## Load balancing services in Azure + +Here are the main load balancing services currently available in Azure: + +- [Application Gateway](https://docs.microsoft.com/azure/application-gateway/overview) provides application delivery controller (ADC) as a service, offering various Layer 7 load-balancing capabilities for your application. It allows customers to optimize web farm productivity by offloading CPU-intensive SSL termination to the application gateway. +- [Azure Front Door Service](https://docs.microsoft.com/azure/frontdoor/front-door-overview) is an application delivery network providing global load balancing and site acceleration service for web applications. It offers various Layer 7 capabilities for your application like SSL offload, path based routing, fast failover, caching, etc. to improve performance and high-availability of your applications. +- [Azure Load Balancer](https://docs.microsoft.com/azure/load-balancer/load-balancer-overview) is an integral part of the Azure SDN stack, providing high-performance, low-latency Layer 4 load-balancing services for all UDP and TCP protocols. +- [Traffic Manager](https://docs.microsoft.com/azure/traffic-manager/traffic-manager-overview) is a DNS-based traffic load balancer that enables you to distribute traffic optimally to services across global Azure regions, while providing high availability and responsiveness. + +When selecting the load balancing options, here are some factors to consider: + +- **Traffic type**: Is it a web (HTTP/HTTPS) application? Is it public facing or a private application? +- **Global vs. regional**: Are you looking at load balancing your VMs or containers within a VNET, or your scale unit/deployments across regions, or both? +- **Scalability**: How does the service handle adding or removing instances? Can it auto-scale based on load and other metrics? +- **Availability** What is the service SLA? +- **Cost** In addition to the cost of the service itself, consider the operations cost for managing a solution built on that service. For example, IaaS solutions might have a higher operations cost. +- What are the overall limitations of each service? +- What kind of application architectures are appropriate for this service? + +## Next steps + +To help select the right set of load balancing services for your application, use the [Decision tree for load balancing applications](./load-balancing-decision-tree.md) diff --git a/docs/toc.yml b/docs/toc.yml index 5c40a15b02c..b5089fff3e5 100644 --- a/docs/toc.yml +++ b/docs/toc.yml @@ -41,6 +41,12 @@ items: href: guide/technology-choices/data-store-overview.md - name: Data store comparison href: guide/technology-choices/data-store-comparison.md + - name: Choosing a load balancing service + items: + - name: Overview + href: guide/technology-choices/load-balancing-overview.md + - name: Decision tree + href: guide/technology-choices/load-balancing-decision-tree.md - name: Design principles items: - name: Overview From f051459717e5eb123a1171fbb2ae68b43ef99435 Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Fri, 2 Aug 2019 21:58:05 -0700 Subject: [PATCH 02/19] Fixing grammar and styling issues --- .../load-balancing-decision-tree.md | 8 ++--- .../load-balancing-overview.md | 34 +++++++++---------- 2 files changed, 21 insertions(+), 21 deletions(-) diff --git a/docs/guide/technology-choices/load-balancing-decision-tree.md b/docs/guide/technology-choices/load-balancing-decision-tree.md index d10b54c479f..723219234c0 100644 --- a/docs/guide/technology-choices/load-balancing-decision-tree.md +++ b/docs/guide/technology-choices/load-balancing-decision-tree.md @@ -1,7 +1,7 @@ --- title: Decision tree for load balancing in Azure titleSuffix: Azure Application Architecture Guide -description: A flowchart for selecting load balancing services in Azure. +description: A flowchart for selecting load-balancing services in Azure. author: sharadag ms.date: 05/25/2019 ms.topic: guide @@ -12,7 +12,7 @@ ms.custom: sharad4u # Decision tree for load balancing in Azure -Azure provides you with a variety of different load balancing solutions that you can leverage to distribute traffic between your different application endpoints. This distribution of traffic could be across your virtual machines, containers, Kubernetes clusters, App Services, in-region within a virtual network or across different Azure regions. The following flowchart will help you to choose a load balancing solution for your application. The flowchart guides you through a set of key decision criteria to reach a recommendation. +Azure provides you with a variety of different load-balancing solutions that you can leverage to distribute traffic between your different application endpoints. This distribution of traffic could be across your virtual machines, containers, Kubernetes clusters, App Services, in-region within a virtual network or across different Azure regions. The following flowchart will help you to choose a load-balancing solution for your application. The flowchart guides you through a set of key decision criteria to reach a recommendation. **Treat this flowchart as a starting point.** Every application has unique requirements, so use the recommendation as a starting point. Then perform a more detailed evaluation, looking at aspects such as: @@ -23,7 +23,7 @@ Azure provides you with a variety of different load balancing solutions that you - [Regional availability](https://azure.microsoft.com/global-infrastructure/services/) - IT/DevOps ecosystem and team skills -If your application consists of multiple workloads, evaluate each workload separately. A complete solution may incorporate two or more load balancing solutions. +If your application consists of multiple workloads, evaluate each workload separately. A complete solution may incorporate two or more load-balancing solutions. ## Flowchart @@ -40,4 +40,4 @@ If your application consists of multiple workloads, evaluate each workload separ ## Next steps -For additional context on these different load balancing services, see [Overview of load balancing options in Azure](./load-balancing-overview.md). +For additional context on these different load-balancing services, see [Overview of load balancing options in Azure](./load-balancing-overview.md). diff --git a/docs/guide/technology-choices/load-balancing-overview.md b/docs/guide/technology-choices/load-balancing-overview.md index f701ee6e0a9..e7adb7d005d 100644 --- a/docs/guide/technology-choices/load-balancing-overview.md +++ b/docs/guide/technology-choices/load-balancing-overview.md @@ -1,16 +1,16 @@ --- -title: Overview of Azure compute options +title: Overview of Azure load-balancing options titleSuffix: Azure Application Architecture Guide -description: An overview of Azure compute options. -author: MikeWasson -ms.date: 06/13/2018 +description: An overview of Azure load-balancing options. +author: sharad4u +ms.date: 08/03/2019 ms.topic: guide ms.service: architecture-center ms.subservice: reference-architecture ms.custom: seojan19 --- -# Overview of load balancing options in Azure +# Overview of load-balancing options in Azure The term *load balancing* refers to the distribution of workloads across multiple computing resources that your application runs on. Load balancing aims to optimize resource use, maximize throughput, minimize response time, and avoid overload of any single resource. @@ -18,36 +18,36 @@ The term *load balancing* refers to the distribution of workloads across multipl Azure provides multiple global and regional services for managing how your application's traffic is distributed and load balanced: **Traffic Manager**, **Azure Front Door**, **Application Gateway**, and **Azure Load Balancer**. Along with Azure’s many regions and zonal architecture, using these services together enable you to build robust, scalable high-performance applications. -![Load balancing choices in Azure](../images/load-balancing-choices.png) +![Load-balancing choices in Azure](../images/load-balancing-choices.png) These services are broken into two categories: -- **Global load balancing services** such as Traffic Manager and Front Door distribute traffic from your end users across your regional backends, across clouds or even your hybrid on-premises services. Global load balancing routes your traffic to your closest service backend and reacts to changes in service reliability or performance to maintain always-on, maximal performance for your users. You can think of global load balancing services as things that load balance between your application stamps or endpoints or scale-units hosted across different regions/geographies. +- **Global load-balancing services** such as Traffic Manager and Front Door distribute traffic from your end users across your regional backends, across clouds or even your hybrid on-premises services. Global load balancing routes your traffic to your closest service backend and reacts to changes in service reliability or performance to maintain always-on, maximal performance for your users. You can think of global load-balancing services as things that load balance between your application stamps or endpoints or scale-units hosted across different regions/geographies. -- **Regional load balancing services** such as Standard Load Balancer or Application Gateway provide the ability to distribute traffic within virtual networks (VNETs) across your virtual machines (VMs) or zonal service endpoints within a region. You can think of regional load balancers as systems that load balance between your virtual machines or containers or clusters within a region in a virtual network. +- **Regional load-balancing services** such as Standard Load Balancer or Application Gateway provide the ability to distribute traffic within virtual networks (VNETs) across your virtual machines (VMs) or zonal service endpoints within a region. You can think of regional load balancers as systems that load balance between your virtual machines or containers or clusters within a region in a virtual network. Correspondingly, there is another way of pivoting these different load balancers based on the application workload type that they can handle: -- **HTTP/HTTPS load balancing services** such as Front Door and Application Gateway are layer 7 load balancers, that is, can only cater to HTTP/HTTPS traffic. This basically allows these services to offer layer 7 benefits like SSL offload, web application firewall, path-based load balancing, session affinity and so on. +- **HTTP/HTTPS load-balancing services** such as Front Door and Application Gateway are layer 7 load balancers, that is, can only cater to HTTP/HTTPS traffic. Front Door and Application Gateway offer key layer 7 benefits like SSL offload, web application firewall, path-based load balancing, session affinity and so on. -- **Non-HTTP/S load balancing services** such as Traffic Manager and Load Balancer which do not work at layer 7. Traffic Manager is a DNS based load balancing service and so is limited to load balancing only at domain level. Also, being at the DNS level, it cannot perform as fast fail-over as Front Door because of common challenges around DNS caching and systems not honoring DNS TTLs. Load Balancer operates for TCP and UDP traffic and offers in-region load balancing with low latency and high throughput for TCP/UDP workloads. +- **Non-HTTP/S load-balancing services** such as Traffic Manager and Load Balancer that do not operate at layer 7. Traffic Manager is a DNS-based load-balancing service and so is limited to load balancing only at domain level. Also, being at the DNS level, it cannot perform as fast fail-over as Front Door because of common challenges around DNS caching and systems not honoring DNS TTLs. Load Balancer operates for TCP and UDP traffic and offers in-region load balancing with low latency and high throughput for TCP/UDP workloads. -Combining global and regional services in your application provides an end-to-end reliable, performant, and secure way to route traffic to and from your users to your IaaS, PaaS, or on-premises services. In the next section, we describe each of these service in a nutshell to understand the key differences. +Combining global and regional services in your application provides an end-to-end reliable, performant, and secure way to route traffic to and from your users to your IaaS, PaaS, or on-premises services. In the next section, we describe each of these services in a nutshell to understand the key differences. -## Load balancing services in Azure +## Load-balancing services in Azure -Here are the main load balancing services currently available in Azure: +Here are the main load-balancing services currently available in Azure: - [Application Gateway](https://docs.microsoft.com/azure/application-gateway/overview) provides application delivery controller (ADC) as a service, offering various Layer 7 load-balancing capabilities for your application. It allows customers to optimize web farm productivity by offloading CPU-intensive SSL termination to the application gateway. -- [Azure Front Door Service](https://docs.microsoft.com/azure/frontdoor/front-door-overview) is an application delivery network providing global load balancing and site acceleration service for web applications. It offers various Layer 7 capabilities for your application like SSL offload, path based routing, fast failover, caching, etc. to improve performance and high-availability of your applications. +- [Azure Front Door Service](https://docs.microsoft.com/azure/frontdoor/front-door-overview) is an application delivery network providing global load balancing and site acceleration service for web applications. It offers various Layer 7 capabilities for your application like SSL offload, path-based routing, fast failover, caching, etc. to improve performance and high-availability of your applications. - [Azure Load Balancer](https://docs.microsoft.com/azure/load-balancer/load-balancer-overview) is an integral part of the Azure SDN stack, providing high-performance, low-latency Layer 4 load-balancing services for all UDP and TCP protocols. - [Traffic Manager](https://docs.microsoft.com/azure/traffic-manager/traffic-manager-overview) is a DNS-based traffic load balancer that enables you to distribute traffic optimally to services across global Azure regions, while providing high availability and responsiveness. -When selecting the load balancing options, here are some factors to consider: +When selecting the load-balancing options, here are some factors to consider: - **Traffic type**: Is it a web (HTTP/HTTPS) application? Is it public facing or a private application? - **Global vs. regional**: Are you looking at load balancing your VMs or containers within a VNET, or your scale unit/deployments across regions, or both? -- **Scalability**: How does the service handle adding or removing instances? Can it auto-scale based on load and other metrics? +- **Scalability**: How does the service handle adding or removing instances? Can it autoscale based on load and other metrics? - **Availability** What is the service SLA? - **Cost** In addition to the cost of the service itself, consider the operations cost for managing a solution built on that service. For example, IaaS solutions might have a higher operations cost. - What are the overall limitations of each service? @@ -55,4 +55,4 @@ When selecting the load balancing options, here are some factors to consider: ## Next steps -To help select the right set of load balancing services for your application, use the [Decision tree for load balancing applications](./load-balancing-decision-tree.md) +To help select the right set of load-balancing services for your application, use the [Decision tree for load balancing applications](./load-balancing-decision-tree.md) From a1c7b3bc271b3ba3186cd8af27a6b612995a790e Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Fri, 2 Aug 2019 22:14:15 -0700 Subject: [PATCH 03/19] Fixing load balancing decision tree image --- .../images/load-balancing-decision-tree.png | Bin 0 -> 175531 bytes .../load-balancing-decision-tree.md | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 docs/guide/images/load-balancing-decision-tree.png diff 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a/docs/reference-architectures/app-service-web-app/multi-region.md b/docs/reference-architectures/app-service-web-app/multi-region.md index 2bd7272c1f2..b784b6290a7 100644 --- a/docs/reference-architectures/app-service-web-app/multi-region.md +++ b/docs/reference-architectures/app-service-web-app/multi-region.md @@ -24,10 +24,10 @@ This architecture builds on the one shown in [Improve scalability in a web appli - **Primary and secondary regions**. This architecture uses two regions to achieve higher availability. The application is deployed to each region. During normal operations, network traffic is routed to the primary region. If the primary region becomes unavailable, traffic is routed to the secondary region. - **Azure DNS**. [Azure DNS][azure-dns] is a hosting service for DNS domains, providing name resolution using Microsoft Azure infrastructure. By hosting your domains in Azure, you can manage your DNS records using the same credentials, APIs, tools, and billing as your other Azure services. -- **Azure Traffic Manager**. [Traffic Manager][traffic-manager] routes incoming requests to the primary region. If the application running that region becomes unavailable, Traffic Manager fails over to the secondary region. +- **Front Door**. [Front Door](/azure/frontdoor/) routes incoming requests to the primary region. If the application running that region becomes unavailable, Front Door fails over to the secondary region. - **Geo-replication** of SQL Database and Cosmos DB. -A multi-region architecture can provide higher availability than deploying to a single region. If a regional outage affects the primary region, you can use [Traffic Manager][traffic-manager] to fail over to the secondary region. This architecture can also help if an individual subsystem of the application fails. +A multi-region architecture can provide higher availability than deploying to a single region. If a regional outage affects the primary region, you can use [Front Door](/azure/frontdoor/) to fail over to the secondary region. This architecture can also help if an individual subsystem of the application fails. There are several general approaches to achieving high availability across regions: @@ -35,7 +35,7 @@ There are several general approaches to achieving high availability across regio - Active/passive with cold standby. Traffic goes to one region, while the other waits on cold standby. Cold standby means the VMs in the secondary region are not allocated until needed for failover. This approach costs less to run, but will generally take longer to come online during a failure. - Active/active. Both regions are active, and requests are load balanced between them. If one region becomes unavailable, it is taken out of rotation. -This reference architecture focuses on active/passive with hot standby, using Traffic Manager for failover. +This reference architecture focuses on active/passive with hot standby, using Front Door for failover. ## Recommendations @@ -57,13 +57,13 @@ Consider placing the primary region, secondary region, and Traffic Manager into ### Traffic Manager configuration -**Routing**. Traffic Manager supports several [routing algorithms][tm-routing]. For the scenario described in this article, use *priority* routing (formerly called *failover* routing). With this setting, Traffic Manager sends all requests to the primary region unless the endpoint for that region becomes unreachable. At that point, it automatically fails over to the secondary region. See [Configure Failover routing method][tm-configure-failover]. +**Routing**. Front Door supports several [routing mechanisms](/azure/frontdoor/front-door-routing-methods#priority-based-traffic-routing). For the scenario described in this article, we will use *priority* routing. With this setting, Front Door sends all requests to the primary region unless the endpoint for that region becomes unreachable. At that point, it automatically fails over to the secondary region. All you need to do is mark the different backends in the backend pool for your Front Door with different priority values - 1 for the active region and 2 or lower for the standby or passive region. -**Health probe**. Traffic Manager uses an HTTP (or HTTPS) probe to monitor the availability of each endpoint. The probe gives Traffic Manager a pass/fail test for failing over to the secondary region. It works by sending a request to a specified URL path. If it gets a non-200 response within a timeout period, the probe fails. After four failed requests, Traffic Manager marks the endpoint as degraded and fails over to the other endpoint. For details, see [Traffic Manager endpoint monitoring and failover][tm-monitoring]. +**Health probe**. Front Door uses an HTTP (or HTTPS) probe to monitor the availability of each backend. The probe gives Front Door a pass/fail test for failing over to the secondary region. It works by sending a request to a specified URL path. If it gets a non-200 response within a timeout period, the probe fails. You can configure the health probe frequency, number of samples required for evaluation and the number of successful samples required to call the backend as healthy. Based on the health probe configuration, Front Door marks the backend as degraded and fails over to the other backend. For details, see [Health Probes](/azure/frontdoor/front-door-health-probes). -As a best practice, create a health probe endpoint that reports the overall health of the application and use this endpoint for the health probe. The endpoint should check critical dependencies such as the App Service apps, storage queue, and SQL Database. Otherwise, the probe might report a healthy endpoint when critical parts of the application are actually failing. +As a best practice, create a health probe path in your application backend that reports the overall health of the application and use the configuration for the health probe. The backend should check critical dependencies such as the App Service apps, storage queue, and SQL Database. Otherwise, the probe might report a healthy backend when critical parts of the application are actually failing. -On the other hand, don't use the health probe to check lower priority services. For example, if an email service goes down the application can switch to a second provider or just send emails later. This is not a high enough priority to cause the application to fail over. For more information, see the [Health Endpoint Monitoring pattern][health-endpoint-monitoring-pattern]. +On the other hand, don't use the health probe to check lower priority services. For example, if an email service goes down the application can switch to a second provider or just send emails later. This is not a high enough priority to cause the application to fail over. ### SQL Database @@ -83,16 +83,14 @@ For Azure Storage, use [read-access geo-redundant storage][ra-grs] (RA-GRS). Wit For Queue storage, create a backup queue in the secondary region. During failover, the app can use the backup queue until the primary region becomes available again. That way, the application can still process new requests. -## Availability considerations - Traffic Manager +## Availability considerations - Front Door -Traffic Manager automatically fails over if the primary region becomes unavailable. When Traffic Manager fails over, there is a period of time when clients cannot reach the application. The duration is affected by the following factors: +Front Door automatically fails over if the primary region becomes unavailable. When Front Door fails over, there is a period of time (usually about 20-60 seconds) when clients cannot reach the application. The duration is affected by the following factors: -- The health probe must detect that the primary datacenter has become unreachable. -- Domain name service (DNS) servers must update the cached DNS records for the IP address, which depends on the DNS time-to-live (TTL). The default TTL is 300 seconds (5 minutes), but you can configure this value when you create the Traffic Manager profile. +- The frequency of health probes: The more frequent the health probes are sent, the faster Front Door can detect downtime or the backend coming back healthy. +- The sample size configuration for the health probe to correctly detect that the primary datacenter has become unreachable and that the same is not an intermittent issue. -For details, see [About Traffic Manager Monitoring][tm-monitoring]. - -Traffic Manager is a possible failure point in the system. If the service fails, clients cannot access your application during the downtime. Review the [Traffic Manager service level agreement (SLA)][tm-sla] and determine whether using Traffic Manager alone meets your business requirements for high availability. If not, consider adding another traffic management solution as a fallback. If the Azure Traffic Manager service fails, change your canonical name (CNAME) records in DNS to point to the other traffic management service. This step must be performed manually, and your application will be unavailable until the DNS changes are propagated. +Front Door is a possible failure point in the system. If the service fails, clients cannot access your application during the downtime. Review the [Front Door service level agreement (SLA)](https://azure.microsoft.com/support/legal/sla/frontdoor)) and determine whether using Front Door alone meets your business requirements for high availability. If not, consider adding another traffic management solution as a fallback. If the Front Door service fails, change your canonical name (CNAME) records in DNS to point to the other traffic management service. This step must be performed manually, and your application will be unavailable until the DNS changes are propagated. ## Availability Considerations - SQL Database @@ -114,31 +112,6 @@ RA-GRS storage provides durable storage, but it's important to understand what c For more information, see [What to do if an Azure Storage outage occurs][storage-outage]. -## Manageability Considerations - Traffic Manager - -If Traffic Manager fails over, we recommend performing a manual failback rather than implementing an automatic failback. Otherwise, you can create a situation where the application flips back and forth between regions. Verify that all application subsystems are healthy before failing back. - -Note that Traffic Manager automatically fails back by default. To prevent this, manually lower the priority of the primary region after a failover event. For example, suppose the primary region is priority 1 and the secondary is priority 2. After a failover, set the primary region to priority 3, to prevent automatic failback. When you are ready to switch back, update the priority to 1. - -The following commands update the priority. - -### PowerShell - -```powershell -$endpoint = Get-AzureRmTrafficManagerEndpoint -Name -ProfileName -ResourceGroupName -Type AzureEndpoints -$endpoint.Priority = 3 -Set-AzureRmTrafficManagerEndpoint -TrafficManagerEndpoint $endpoint -``` - -For more information, see [Azure Traffic Manager Cmdlets][tm-ps]. - -### Azure CLI - -```azurecli -az network traffic-manager endpoint update --resource-group --profile-name \ - --name --type azureEndpoints --priority 3 -``` - ## Manageability Considerations - SQL Database If the primary database fails, perform a manual failover to the secondary database. See [Restore an Azure SQL Database or failover to a secondary][sql-failover]. The secondary database remains read-only until you fail over. @@ -158,10 +131,4 @@ If the primary database fails, perform a manual failover to the secondary databa [sql-replication]: /azure/sql-database/sql-database-geo-replication-overview [sql-rpo]: /azure/sql-database/sql-database-business-continuity#sql-database-features-that-you-can-use-to-provide-business-continuity [storage-outage]: /azure/storage/storage-disaster-recovery-guidance -[tm-configure-failover]: /azure/traffic-manager/traffic-manager-configure-failover-routing-method -[tm-monitoring]: /azure/traffic-manager/traffic-manager-monitoring -[tm-ps]: /powershell/module/azurerm.trafficmanager -[tm-routing]: /azure/traffic-manager/traffic-manager-routing-methods -[tm-sla]: https://azure.microsoft.com/support/legal/sla/traffic-manager -[traffic-manager]: https://azure.microsoft.com/services/traffic-manager [visio-download]: https://archcenter.blob.core.windows.net/cdn/app-service-reference-architectures.vsdx diff --git a/docs/reference-architectures/app-service-web-app/scalable-web-app.md b/docs/reference-architectures/app-service-web-app/scalable-web-app.md index 00f30590206..a72d2e81f9a 100644 --- a/docs/reference-architectures/app-service-web-app/scalable-web-app.md +++ b/docs/reference-architectures/app-service-web-app/scalable-web-app.md @@ -33,7 +33,7 @@ This architecture builds on the one shown in [Basic web application][basic-web-a - **Data storage**. Use [Azure SQL Database][sql-db] for relational data. For non-relational data, consider [Cosmos DB][cosmosdb]. - **Azure Search**. Use [Azure Search][azure-search] to add search functionality such as search suggestions, fuzzy search, and language-specific search. Azure Search is typically used in conjunction with another data store, especially if the primary data store requires strict consistency. In this approach, store authoritative data in the other data store and the search index in Azure Search. Azure Search can also be used to consolidate a single search index from multiple data stores. - **Azure DNS**. [Azure DNS][azure-dns] is a hosting service for DNS domains, providing name resolution using Microsoft Azure infrastructure. By hosting your domains in Azure, you can manage your DNS records using the same credentials, APIs, tools, and billing as your other Azure services. -- **Application gateway**. [Application Gateway](/azure/application-gateway/) is a layer 7 load balancer. In this architecture, it routes HTTP requests to the web front end. Application Gateway also provides a [web application firewall](/azure/application-gateway/waf-overview) (WAF) that protects the application from common exploits and vulnerabilities. +- **Front Door**. [Front Door](/azure/frontdoor/) is a layer 7 load balancer and a site acceleration platform to improve your application's performance. In this architecture, it routes HTTP requests to the web front end. Front Door also provides a [web application firewall](/azure/frontdoor/waf-overview) (WAF) that protects the application from common exploits and vulnerabilities. ## Recommendations @@ -100,6 +100,12 @@ Increase scalability of a SQL database by *sharding* the database. Sharding refe - Better transaction throughput. - Queries can run faster over a subset of the data. +### Azure Front Door + +Front Door allows you to perform SSL offload at Front Door layer and also reduces the overall set of connections that your backend (App Service) will have to maintain. + +Since the TCP and SSL connections get terminated at Front Door, and even if you forward the requests as HTTPS to your application deployment, due to high level of connection reuse, there is a lot lesser percentage of SSL handshakes and TCP connections that your application will have to support. + ### Azure Search Azure Search removes the overhead of performing complex data searches from the primary data store, and it can scale to handle load. See [Scale resource levels for query and indexing workloads in Azure Search][azure-search-scaling]. @@ -108,6 +114,15 @@ Azure Search removes the overhead of performing complex data searches from the p This section lists security considerations that are specific to the Azure services described in this article. It's not a complete list of security best practices. For some additional security considerations, see [Secure an app in Azure App Service][app-service-security]. +### Locking down App Service for access from Front Door only + +Since your application is fronted with Front Door, and you will have your web application firewall policies setup, it is necessary that you lock down your application to accept traffic from your Front Door only. See [how to lock down your backend to accept traffic from Front Door only](/azure/frontdoor/front-door-faq#how-do-i-lock-down-the-access-to-my-backend-to-only-azure-front-door) + +### Web application firewall + +Web application firewall that helps protect your web applications from common threats such as SQL injection, cross-site scripting and other web exploits. You can define a WAF policy with Front Door, consisting of a combination of custom and managed rules to control access to your web applications. +Azure WAF, when integrated with Front Door, stops denial-of-service and targeted application attacks at the edge of Microsoft's network, close to attack sources before they enter your application, and offers protection without sacrificing performance. + ### Cross-Origin Resource Sharing (CORS) If you create a website and web API as separate apps, the website cannot make client-side AJAX calls to the API unless you enable CORS. @@ -153,6 +168,5 @@ Use [Transparent Data Encryption][sql-encryption] if you need to encrypt data at [sql-db]: /azure/sql-database/ [sql-elastic]: /azure/sql-database/sql-database-elastic-scale-introduction [sql-encryption]: https://msdn.microsoft.com/library/dn948096.aspx -[tm]: https://azure.microsoft.com/services/traffic-manager/ [visio-download]: https://archcenter.blob.core.windows.net/cdn/app-service-reference-architectures.vsdx [web-app-multi-region]: ./multi-region.md From d3936a6adb858b27df670fc8f71e60ea5bb7abea Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Sun, 4 Aug 2019 22:55:06 -0700 Subject: [PATCH 05/19] Fixing grammar and content styling and also simplifying language for load balancer choices intro --- docs/guide/index.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/guide/index.md b/docs/guide/index.md index 327cd4ceb74..ae07d66d896 100644 --- a/docs/guide/index.md +++ b/docs/guide/index.md @@ -32,7 +32,7 @@ Relational database
Strong consistency
Serial and synchronized processing
Design to avoid failures (MTBF)
-Occasional big updates
+Occasional large updates
Manual management
Snowflake servers @@ -67,18 +67,18 @@ Learn more: ### Technology choices -Two technology choices should be decided early on, because they affect the entire architecture. These are the choice of compute service and data stores. *Compute* refers to the hosting model for the computing resources that your applications runs on. *Data stores* includes databases but also storage for message queues, caches, logs, and anything else that an application might persist to storage. +Two technology choices should be decided early on, because they affect the entire architecture. These are the choice of compute service and data stores. *Compute* refers to the hosting model for the computing resources that your applications run on. *Data stores include databases but also storage for message queues, caches, logs, and anything else that an application might persist to storage. Learn more: - [Choosing a compute service](./technology-choices/compute-overview.md) - [Choosing a data store](./technology-choices/data-store-overview.md) -Depending on your application's requirements, there is a high likelihood of a requirement for choosing the right load balancing services for your architecture. *Load balancing* defines how the traffic for your application will be distributed to your compute service. Learn more at [Choosing a load balancing service](./technology-choices/load-balancing-overview.md) +While it depends on your application's requirements, there is a high likelihood that you will also need to choose the right load-balancing services for your application early on in the architectural discussions. *Load balancing* defines how the traffic for your application will be distributed to your compute service. Learn more at [Choosing a load balancing service](./technology-choices/load-balancing-overview.md) ### Design principles -We have identified ten high-level design principles that will make your application more scalable, resilient, and manageable. These design principles apply to any architecture styles. Throughout the design process, keep these ten high-level design principles in mind. Then consider the set of best practices for specific aspects of the architecture, such as auto-scaling, caching, data partitioning, API design, and others. +We have identified ten high-level design principles that will make your application more scalable, resilient, and manageable. These design principles apply to any architecture styles. Throughout the design process, keep these ten high-level design principles in mind. Then consider the set of best practices for specific aspects of the architecture, such as autoscaling, caching, data partitioning, API design, and others. Learn more: From 894bce30e94d2f9b1192d40c92995bc2c0a2246a Mon Sep 17 00:00:00 2001 From: Derek Martin Date: Tue, 6 Aug 2019 10:53:06 -0500 Subject: [PATCH 06/19] Update multi-region.md Increase Acrolinx and some minor edits. --- .../app-service-web-app/multi-region.md | 36 +++++++++---------- 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/docs/reference-architectures/app-service-web-app/multi-region.md b/docs/reference-architectures/app-service-web-app/multi-region.md index b784b6290a7..ac69f74625f 100644 --- a/docs/reference-architectures/app-service-web-app/multi-region.md +++ b/docs/reference-architectures/app-service-web-app/multi-region.md @@ -3,7 +3,7 @@ title: Highly available multi-region web application titleSuffix: Azure Reference Architectures description: Recommended architecture for a highly available web application running in multiple regions in Azure. author: MikeWasson -ms.date: 10/25/2018 +ms.date: 08/01/2019 ms.topic: reference-architecture ms.service: architecture-center ms.subservice: reference-architecture @@ -32,10 +32,10 @@ A multi-region architecture can provide higher availability than deploying to a There are several general approaches to achieving high availability across regions: - Active/passive with hot standby. Traffic goes to one region, while the other waits on hot standby. Hot standby means the VMs in the secondary region are allocated and running at all times. -- Active/passive with cold standby. Traffic goes to one region, while the other waits on cold standby. Cold standby means the VMs in the secondary region are not allocated until needed for failover. This approach costs less to run, but will generally take longer to come online during a failure. +- Active/passive with cold standby. Traffic goes to one region, while the other waits on cold standby. Cold standby means the VMs in the secondary region are not allocated until needed for fail over. This approach costs less to run, but will generally take longer to come online during a failure. - Active/active. Both regions are active, and requests are load balanced between them. If one region becomes unavailable, it is taken out of rotation. -This reference architecture focuses on active/passive with hot standby, using Front Door for failover. +This reference architecture focuses on active/passive with hot standby, using Front Door for fail over. ## Recommendations @@ -47,23 +47,23 @@ Each Azure region is paired with another region within the same geography. In ge - If there is a broad outage, recovery of at least one region out of every pair is prioritized. - Planned Azure system updates are rolled out to paired regions sequentially to minimize possible downtime. -- In most cases, regional pairs reside within the same geography to meet data residency requirements. +- In every case except Brazil South, regional pairs reside within the same geography to meet data residency requirements. However, make sure that both regions support all of the Azure services needed for your application. See [Services by region][services-by-region]. For more information about regional pairs, see [Business continuity and disaster recovery (BCDR): Azure Paired Regions][regional-pairs]. ### Resource groups -Consider placing the primary region, secondary region, and Traffic Manager into separate [resource groups][resource groups]. This lets you manage the resources deployed to each region as a single collection. +Consider placing the primary region, secondary region, and Traffic Manager into separate [resource groups][resource groups]. This placement allows you manage the resources deployed to each region as a single collection. ### Traffic Manager configuration -**Routing**. Front Door supports several [routing mechanisms](/azure/frontdoor/front-door-routing-methods#priority-based-traffic-routing). For the scenario described in this article, we will use *priority* routing. With this setting, Front Door sends all requests to the primary region unless the endpoint for that region becomes unreachable. At that point, it automatically fails over to the secondary region. All you need to do is mark the different backends in the backend pool for your Front Door with different priority values - 1 for the active region and 2 or lower for the standby or passive region. +**Routing**. Front Door supports several [routing mechanisms](/azure/frontdoor/front-door-routing-methods#priority-based-traffic-routing). For the scenario described in this article, we'll use *priority* routing. With this setting, Front Door sends all requests to the primary region unless the endpoint for that region becomes unreachable. At that point, it automatically fails over to the secondary region. All you need to do is mark the different back ends in the backend pool for your Front Door with different priority values - 1 for the active region and 2 or lower for the standby or passive region. -**Health probe**. Front Door uses an HTTP (or HTTPS) probe to monitor the availability of each backend. The probe gives Front Door a pass/fail test for failing over to the secondary region. It works by sending a request to a specified URL path. If it gets a non-200 response within a timeout period, the probe fails. You can configure the health probe frequency, number of samples required for evaluation and the number of successful samples required to call the backend as healthy. Based on the health probe configuration, Front Door marks the backend as degraded and fails over to the other backend. For details, see [Health Probes](/azure/frontdoor/front-door-health-probes). +**Health probe**. Front Door uses an HTTP (or HTTPS) probe to monitor the availability of each backend. The probe gives Front Door a pass/fail test for failing over to the secondary region. It works by sending a request to a specified URL path. If it gets a non-200 response within a timeout period, the probe fails. You can configure the health probe frequency, number of samples required for evaluation, and the number of successful samples required to call the backend as healthy. Based on the health probe configuration, Front Door marks the backend as degraded and fails over to the other backend. For details, see [Health Probes](/azure/frontdoor/front-door-health-probes). -As a best practice, create a health probe path in your application backend that reports the overall health of the application and use the configuration for the health probe. The backend should check critical dependencies such as the App Service apps, storage queue, and SQL Database. Otherwise, the probe might report a healthy backend when critical parts of the application are actually failing. +As a best practice, create a health probe path in your application backend that reports the overall health of the application and use the configuration for the health probe. The backend should check critical dependencies such as the App Service apps, storage queue, and SQL Database. If you don't follow this pattern, the probe might report a healthy backend when critical parts of the application are actually failing. -On the other hand, don't use the health probe to check lower priority services. For example, if an email service goes down the application can switch to a second provider or just send emails later. This is not a high enough priority to cause the application to fail over. +Don't use the health probe to check lower priority services. For example, if an email service goes down the application can switch to a second provider or just send emails later. This alone is not a high enough priority to cause the application to fail over. ### SQL Database @@ -71,7 +71,7 @@ Use [Active Geo-Replication][sql-replication] to create a readable secondary rep ### Cosmos DB -Cosmos DB supports geo-replication across regions with multi-master (multiple write regions). Alternatively, you can designate one region as the writable region and the others as read-only replicas. If there is a regional outage, you can fail over by selecting another region to be the write region. The client SDK automatically sends write requests to the current write region, so you don't need to update the client configuration after a failover. For more information, see [Global data distribution with Azure Cosmos DB][cosmosdb-geo]. +Cosmos DB supports geo-replication across regions with multi-master (multiple write regions). Alternatively, you can designate one region as the writable region and the others as read-only replicas. If there is a regional outage, you can fail over by selecting another region to be the write region. The client SDK automatically sends write requests to the current write region, so you don't need to update the client configuration after a fail over. For more information, see [Global data distribution with Azure Cosmos DB][cosmosdb-geo]. > [!NOTE] > All of the replicas belong to the same resource group. @@ -79,18 +79,18 @@ Cosmos DB supports geo-replication across regions with multi-master (multiple wr ### Storage -For Azure Storage, use [read-access geo-redundant storage][ra-grs] (RA-GRS). With RA-GRS storage, the data is replicated to a secondary region. You have read-only access to the data in the secondary region through a separate endpoint. If there is a regional outage or disaster, the Azure Storage team might decide to perform a geo-failover to the secondary region. There is no customer action required for this failover. +For Azure Storage, use [read-access geo-redundant storage][ra-grs] (RA-GRS). With RA-GRS storage, the data is replicated to a secondary region. You have read-only access to the data in the secondary region through a separate endpoint. If there is a regional outage or disaster, the Azure Storage team might decide to perform a geo fail over to the secondary region. There is no customer action required for this fail over. -For Queue storage, create a backup queue in the secondary region. During failover, the app can use the backup queue until the primary region becomes available again. That way, the application can still process new requests. +For Queue storage, create a backup queue in the secondary region. During fail over, the app can use the backup queue until the primary region becomes available again. That way, the application can still process new requests. ## Availability considerations - Front Door Front Door automatically fails over if the primary region becomes unavailable. When Front Door fails over, there is a period of time (usually about 20-60 seconds) when clients cannot reach the application. The duration is affected by the following factors: - The frequency of health probes: The more frequent the health probes are sent, the faster Front Door can detect downtime or the backend coming back healthy. -- The sample size configuration for the health probe to correctly detect that the primary datacenter has become unreachable and that the same is not an intermittent issue. +- The sample size configuration for the health probe to correctly detect that the primary data center has become unreachable and that the same is not an intermittent issue. -Front Door is a possible failure point in the system. If the service fails, clients cannot access your application during the downtime. Review the [Front Door service level agreement (SLA)](https://azure.microsoft.com/support/legal/sla/frontdoor)) and determine whether using Front Door alone meets your business requirements for high availability. If not, consider adding another traffic management solution as a fallback. If the Front Door service fails, change your canonical name (CNAME) records in DNS to point to the other traffic management service. This step must be performed manually, and your application will be unavailable until the DNS changes are propagated. +Front Door is a possible failure point in the system. If the service fails, clients cannot access your application during the downtime. Review the [Front Door service level agreement (SLA)](https://azure.microsoft.com/support/legal/sla/frontdoor)) and determine whether using Front Door alone meets your business requirements for high availability. If not, consider adding another traffic management solution as a fallback such as Azure Traffic Manager. If the Front Door service fails, change your canonical name (CNAME) records in DNS to point to the other traffic management service. This step must be performed manually, and your application will be unavailable until the DNS changes are propagated. ## Availability Considerations - SQL Database @@ -101,9 +101,9 @@ The recovery point objective (RPO) and estimated recovery time (ERT) for SQL Dat RA-GRS storage provides durable storage, but it's important to understand what can happen during an outage: - If a storage outage occurs, there will be a period of time when you don't have write-access to the data. You can still read from the secondary endpoint during the outage. -- If a regional outage or disaster affects the primary location and the data there cannot be recovered, the Azure Storage team may decide to perform a geo-failover to the secondary region. -- Data replication to the secondary region is performed asynchronously. Therefore, if a geo-failover is performed, some data loss is possible if the data can't be recovered from the primary region. -- Transient failures, such as a network outage, will not trigger a storage failover. Design your application to be resilient to transient failures. Possible mitigations: +- If a regional outage or disaster affects the primary location and the data there cannot be recovered, the Azure Storage team may decide to perform a geo fail over to the secondary region. +- Data replication to the secondary region is performed asynchronously. Therefore, if a geo fail over is performed, some data loss is possible if the data can't be recovered from the primary region. +- Transient failures, such as a network outage, will not trigger a storage fail over. Design your application to be resilient to transient failures. Possible mitigations: - Read from the secondary region. - Temporarily switch to another storage account for new write operations (for example, to queue messages). @@ -114,7 +114,7 @@ For more information, see [What to do if an Azure Storage outage occurs][storage ## Manageability Considerations - SQL Database -If the primary database fails, perform a manual failover to the secondary database. See [Restore an Azure SQL Database or failover to a secondary][sql-failover]. The secondary database remains read-only until you fail over. +If the primary database fails, perform a manual fail over to the secondary database. See [Restore an Azure SQL Database or fail over to a secondary][sql-failover]. The secondary database remains read-only until you fail over. From 861d8fbc7ea6d66d9158d527596de6b25b1029a4 Mon Sep 17 00:00:00 2001 From: Derek Martin Date: Tue, 6 Aug 2019 12:07:30 -0500 Subject: [PATCH 07/19] Tweaks revert back some of the failover vs fail over based on context. Minor tweaks to scalable web app. --- .../app-service-web-app/multi-region.md | 18 +++++++++--------- .../app-service-web-app/scalable-web-app.md | 11 ++++++----- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/docs/reference-architectures/app-service-web-app/multi-region.md b/docs/reference-architectures/app-service-web-app/multi-region.md index ac69f74625f..ecd086c2e5b 100644 --- a/docs/reference-architectures/app-service-web-app/multi-region.md +++ b/docs/reference-architectures/app-service-web-app/multi-region.md @@ -32,10 +32,10 @@ A multi-region architecture can provide higher availability than deploying to a There are several general approaches to achieving high availability across regions: - Active/passive with hot standby. Traffic goes to one region, while the other waits on hot standby. Hot standby means the VMs in the secondary region are allocated and running at all times. -- Active/passive with cold standby. Traffic goes to one region, while the other waits on cold standby. Cold standby means the VMs in the secondary region are not allocated until needed for fail over. This approach costs less to run, but will generally take longer to come online during a failure. +- Active/passive with cold standby. Traffic goes to one region, while the other waits on cold standby. Cold standby means the VMs in the secondary region are not allocated until needed for failover. This approach costs less to run, but will generally take longer to come online during a failure. - Active/active. Both regions are active, and requests are load balanced between them. If one region becomes unavailable, it is taken out of rotation. -This reference architecture focuses on active/passive with hot standby, using Front Door for fail over. +This reference architecture focuses on active/passive with hot standby, using Front Door for failover. ## Recommendations @@ -67,11 +67,11 @@ Don't use the health probe to check lower priority services. For example, if an ### SQL Database -Use [Active Geo-Replication][sql-replication] to create a readable secondary replica in a different region. You can have up to four readable secondary replicas. Fail over to a secondary database if your primary database fails or needs to be taken offline. Active Geo-Replication can be configured for any database in any elastic database pool. +Use [Active Geo-Replication][sql-replication] to create a readable secondary replica in a different region. You can have up to four readable secondary replicas. Failover to a secondary database if your primary database fails or needs to be taken offline. Active Geo-Replication can be configured for any database in any elastic database pool. ### Cosmos DB -Cosmos DB supports geo-replication across regions with multi-master (multiple write regions). Alternatively, you can designate one region as the writable region and the others as read-only replicas. If there is a regional outage, you can fail over by selecting another region to be the write region. The client SDK automatically sends write requests to the current write region, so you don't need to update the client configuration after a fail over. For more information, see [Global data distribution with Azure Cosmos DB][cosmosdb-geo]. +Cosmos DB supports geo-replication across regions with multi-master (multiple write regions). Alternatively, you can designate one region as the writable region and the others as read-only replicas. If there is a regional outage, you can fail over by selecting another region to be the write region. The client SDK automatically sends write requests to the current write region, so you don't need to update the client configuration after a failover. For more information, see [Global data distribution with Azure Cosmos DB][cosmosdb-geo]. > [!NOTE] > All of the replicas belong to the same resource group. @@ -79,9 +79,9 @@ Cosmos DB supports geo-replication across regions with multi-master (multiple wr ### Storage -For Azure Storage, use [read-access geo-redundant storage][ra-grs] (RA-GRS). With RA-GRS storage, the data is replicated to a secondary region. You have read-only access to the data in the secondary region through a separate endpoint. If there is a regional outage or disaster, the Azure Storage team might decide to perform a geo fail over to the secondary region. There is no customer action required for this fail over. +For Azure Storage, use [read-access geo-redundant storage][ra-grs] (RA-GRS). With RA-GRS storage, the data is replicated to a secondary region. You have read-only access to the data in the secondary region through a separate endpoint. If there is a regional outage or disaster, the Azure Storage team might decide to perform a geo failover to the secondary region. There is no customer action required for this failover. -For Queue storage, create a backup queue in the secondary region. During fail over, the app can use the backup queue until the primary region becomes available again. That way, the application can still process new requests. +For Queue storage, create a backup queue in the secondary region. During failover, the app can use the backup queue until the primary region becomes available again. That way, the application can still process new requests. ## Availability considerations - Front Door @@ -101,9 +101,9 @@ The recovery point objective (RPO) and estimated recovery time (ERT) for SQL Dat RA-GRS storage provides durable storage, but it's important to understand what can happen during an outage: - If a storage outage occurs, there will be a period of time when you don't have write-access to the data. You can still read from the secondary endpoint during the outage. -- If a regional outage or disaster affects the primary location and the data there cannot be recovered, the Azure Storage team may decide to perform a geo fail over to the secondary region. -- Data replication to the secondary region is performed asynchronously. Therefore, if a geo fail over is performed, some data loss is possible if the data can't be recovered from the primary region. -- Transient failures, such as a network outage, will not trigger a storage fail over. Design your application to be resilient to transient failures. Possible mitigations: +- If a regional outage or disaster affects the primary location and the data there cannot be recovered, the Azure Storage team may decide to perform a geo failover to the secondary region. +- Data replication to the secondary region is performed asynchronously. Therefore, if a geo failover is performed, some data loss is possible if the data can't be recovered from the primary region. +- Transient failures, such as a network outage, will not trigger a storage failover. Design your application to be resilient to transient failures. Possible mitigations: - Read from the secondary region. - Temporarily switch to another storage account for new write operations (for example, to queue messages). diff --git a/docs/reference-architectures/app-service-web-app/scalable-web-app.md b/docs/reference-architectures/app-service-web-app/scalable-web-app.md index a72d2e81f9a..7aa983491e2 100644 --- a/docs/reference-architectures/app-service-web-app/scalable-web-app.md +++ b/docs/reference-architectures/app-service-web-app/scalable-web-app.md @@ -1,18 +1,18 @@ --- title: Scalable web application titleSuffix: Azure Reference Architectures -description: Improve scalability in a web application running in Microsoft Azure. +description: Improve Scalability in a web application running in Microsoft Azure. author: MikeWasson -ms.date: 10/25/2018 +ms.date: 08/01/2019 ms.topic: reference-architecture ms.service: architecture-center ms.subservice: reference-architecture ms.custom: seodec18 --- -# Improve scalability in an Azure web application +# Improve Scalability in an Azure web application -This reference architecture shows proven practices for improving scalability and performance in an Azure App Service web application. +This Reference Architecture shows proven practices for improving scalability and performance in an Azure App Service web application. ![GitHub logo](../../_images/github.png) A reference implementation for this architecture is available on [GitHub][github]. @@ -120,7 +120,8 @@ Since your application is fronted with Front Door, and you will have your web ap ### Web application firewall -Web application firewall that helps protect your web applications from common threats such as SQL injection, cross-site scripting and other web exploits. You can define a WAF policy with Front Door, consisting of a combination of custom and managed rules to control access to your web applications. +Web application firewall that helps protect your web applications from common threats such as SQL injection, cross-site scripting and other web exploits. You can define a WAF policy with Front Door, consisting of a combination of custom and managed rules to control access to your web applications. + Azure WAF, when integrated with Front Door, stops denial-of-service and targeted application attacks at the edge of Microsoft's network, close to attack sources before they enter your application, and offers protection without sacrificing performance. ### Cross-Origin Resource Sharing (CORS) From dbe9267efc3938846251eff1350c4af67a56b93f Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Sat, 10 Aug 2019 14:20:18 -0700 Subject: [PATCH 08/19] Fixing PR comments and Acrolinx scores --- docs/guide/technology-choices/compute-comparison.md | 6 +++--- .../technology-choices/load-balancing-decision-tree.md | 1 - docs/guide/technology-choices/load-balancing-overview.md | 8 ++++---- 3 files changed, 7 insertions(+), 8 deletions(-) diff --git a/docs/guide/technology-choices/compute-comparison.md b/docs/guide/technology-choices/compute-comparison.md index 0ea1d8d028a..ba9a0cc6f64 100644 --- a/docs/guide/technology-choices/compute-comparison.md +++ b/docs/guide/technology-choices/compute-comparison.md @@ -12,7 +12,7 @@ ms.custom: seojan19 # Criteria for choosing an Azure compute service -The term *compute* refers to the hosting model for the computing resources that your applications runs on. The following tables compare Azure compute services across several axes. Refer to these tables when selecting a compute option for your application. +The term *compute* refers to the hosting model for the computing resources that your applications run on. The following tables compare Azure compute services across several axes. Refer to these tables when selecting a compute option for your application. ## Hosting model @@ -43,7 +43,7 @@ Notes | Criteria | Virtual Machines | App Service | Service Fabric | Azure Functions | Azure Kubernetes Service | Container Instances | Azure Batch | |----------|-----------------|-------------|----------------|-----------------|-------------------------|----------------|-------------| | Local debugging | Agnostic | IIS Express, others
1 | Local node cluster | Visual Studio or Azure Functions CLI | Minikube, others | Local container runtime | Not supported | -| Programming model | Agnostic | Web and API applications, WebJobs for background tasks | Guest executable, Service model, Actor model, Containers | Functions with triggers | Agnostic | Agnostic | Command line application | +| Programming model | Agnostic | Web and API applications, WebJobs for background tasks | Guest executable, Service model, Actor model, Containers | Functions with triggers | Agnostic | Agnostic | Command-line application | | Application update | No built-in support | Deployment slots | Rolling upgrade (per service) | Deployment slots | Rolling update | Not applicable | Notes @@ -57,7 +57,7 @@ Notes |----------|-----------------|-------------|----------------|-----------------|-------------------------|----------------|-------------| | Autoscaling | Virtual machine scale sets | Built-in service | Virtual machine scale sets | Built-in service | Not supported | Not supported | N/A | | Load balancer | Azure Load Balancer | Integrated | Azure Load Balancer | Integrated | Integrated | No built-in support | Azure Load Balancer | -| Scale limit1 | Platform image: 1000 nodes per VMSS, Custom image: 100 nodes per VMSS | 20 instances, 100 with App Service Environment | 100 nodes per VMSS | 200 instances per Function app | 100 nodes per cluster (default limit) |20 container groups per subscription (default limit). | 20 core limit (default limit). | +| Scale limit1 | Platform image: 1000 nodes per virtual machine scale set, Custom image: 100 nodes per virtual machine scale set | 20 instances, 100 with App Service Environment | 100 nodes per virtual machine scale set | 200 instances per Function app | 100 nodes per cluster (default limit) |20 container groups per subscription (default limit). | 20 core limit (default limit). | Notes diff --git a/docs/guide/technology-choices/load-balancing-decision-tree.md b/docs/guide/technology-choices/load-balancing-decision-tree.md index 425b8dc0cca..755c70331b5 100644 --- a/docs/guide/technology-choices/load-balancing-decision-tree.md +++ b/docs/guide/technology-choices/load-balancing-decision-tree.md @@ -21,7 +21,6 @@ Azure provides you with a variety of different load-balancing solutions that you - [Cost](https://azure.microsoft.com/pricing/) - [SLA](https://azure.microsoft.com/support/legal/sla/) - [Regional availability](https://azure.microsoft.com/global-infrastructure/services/) -- IT/DevOps ecosystem and team skills If your application consists of multiple workloads, evaluate each workload separately. A complete solution may incorporate two or more load-balancing solutions. diff --git a/docs/guide/technology-choices/load-balancing-overview.md b/docs/guide/technology-choices/load-balancing-overview.md index e7adb7d005d..2259c5ea4d4 100644 --- a/docs/guide/technology-choices/load-balancing-overview.md +++ b/docs/guide/technology-choices/load-balancing-overview.md @@ -22,15 +22,15 @@ Azure provides multiple global and regional services for managing how your appli These services are broken into two categories: -- **Global load-balancing services** such as Traffic Manager and Front Door distribute traffic from your end users across your regional backends, across clouds or even your hybrid on-premises services. Global load balancing routes your traffic to your closest service backend and reacts to changes in service reliability or performance to maintain always-on, maximal performance for your users. You can think of global load-balancing services as things that load balance between your application stamps or endpoints or scale-units hosted across different regions/geographies. +- **Global load-balancing services** such as Traffic Manager and Front Door distribute traffic from your end users across your regional backends, across clouds or even your hybrid on-premises services. Global load balancing routes your traffic to your closest service backend and reacts to changes in service reliability or performance to maintain always-on, maximal performance for your users. You can think of global load-balancing services as systems that load balance between your application stamps or endpoints or scale-units hosted across different regions/geographies. -- **Regional load-balancing services** such as Standard Load Balancer or Application Gateway provide the ability to distribute traffic within virtual networks (VNETs) across your virtual machines (VMs) or zonal service endpoints within a region. You can think of regional load balancers as systems that load balance between your virtual machines or containers or clusters within a region in a virtual network. +- **Regional load-balancing services** such as Standard Load Balancer or Application Gateway provide the ability to distribute traffic within virtual networks (VNETs) across your virtual machines (VMs) or zonal and zone-redundant service endpoints within a region. You can think of regional load balancers as systems that load balance between your virtual machines or containers or clusters within a region in a virtual network. Correspondingly, there is another way of pivoting these different load balancers based on the application workload type that they can handle: -- **HTTP/HTTPS load-balancing services** such as Front Door and Application Gateway are layer 7 load balancers, that is, can only cater to HTTP/HTTPS traffic. Front Door and Application Gateway offer key layer 7 benefits like SSL offload, web application firewall, path-based load balancing, session affinity and so on. +- **HTTP/HTTPS load-balancing services** such as Front Door and Application Gateway are load balancers for web applications, that is, can only cater to HTTP/HTTPS traffic. Front Door and Application Gateway offer key layer 7 benefits like SSL offload, web application firewall, path-based load balancing, session affinity and so on. -- **Non-HTTP/S load-balancing services** such as Traffic Manager and Load Balancer that do not operate at layer 7. Traffic Manager is a DNS-based load-balancing service and so is limited to load balancing only at domain level. Also, being at the DNS level, it cannot perform as fast fail-over as Front Door because of common challenges around DNS caching and systems not honoring DNS TTLs. Load Balancer operates for TCP and UDP traffic and offers in-region load balancing with low latency and high throughput for TCP/UDP workloads. +- **Non-HTTP/S load-balancing services** such as Traffic Manager and Load Balancer that are recommended for non-web workloads, that is, non-HTTP/HTTPS traffic. Traffic Manager is a DNS-based load-balancing service and so is limited to load balancing only at domain level. Also, being at the DNS level, Traffic Manager cannot perform as fast fail-over as Front Door because of common challenges around DNS caching and systems not honoring DNS TTLs. Azure Load Balancer operates for TCP and UDP traffic and offers in-region load balancing with low latency and high throughput for TCP/UDP workloads. Combining global and regional services in your application provides an end-to-end reliable, performant, and secure way to route traffic to and from your users to your IaaS, PaaS, or on-premises services. In the next section, we describe each of these services in a nutshell to understand the key differences. From b184ef6dd1ff6acc5c7dd9e388078b5805435429 Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Sat, 10 Aug 2019 15:04:44 -0700 Subject: [PATCH 09/19] reverting changes to TOC file --- docs/toc.yml | 999 ++++++++++++++++++++++++--------------------------- 1 file changed, 461 insertions(+), 538 deletions(-) diff --git a/docs/toc.yml b/docs/toc.yml index 05428384f99..5c40a15b02c 100644 --- a/docs/toc.yml +++ b/docs/toc.yml @@ -1,12 +1,13 @@ +metadata: + experimental: true + experiment_id: "1eb71ad0-d9de-43" items: - name: Azure Architecture Center href: index.md -- name: Application architecture guide +- name: Cloud fundamentals items: - - name: Introduction - href: guide/index.md - - name: Architecture Styles + - name: Application architecture guide items: - name: Introduction href: guide/index.md @@ -40,12 +41,6 @@ items: href: guide/technology-choices/data-store-overview.md - name: Data store comparison href: guide/technology-choices/data-store-comparison.md - - name: Choosing a load balancing service - items: - - name: Overview - href: guide/technology-choices/load-balancing-overview.md - - name: Decision tree - href: guide/technology-choices/load-balancing-decision-tree.md - name: Design principles items: - name: Overview @@ -72,54 +67,99 @@ items: href: guide/design-principles/build-for-business.md - name: Pillars of software quality href: guide/pillars.md + - name: Cloud design patterns - - name: Overview - href: guide/architecture-styles/index.md - - name: Big compute - href: guide/architecture-styles/big-compute.md - - name: Big data - href: guide/architecture-styles/big-data.md - - name: Event-driven architecture - href: guide/architecture-styles/event-driven.md - - name: Microservices - href: guide/architecture-styles/microservices.md - - name: N-tier application - href: guide/architecture-styles/n-tier.md - - name: Web-queue-worker - href: guide/architecture-styles/web-queue-worker.md - - name: Design Principles items: - name: Overview - href: guide/design-principles/index.md - - name: Design for self-healing - href: guide/design-principles/self-healing.md - - name: Make all things redundant - href: guide/design-principles/redundancy.md - - name: Minimize coordination - href: guide/design-principles/minimize-coordination.md - - name: Design to scale out - href: guide/design-principles/scale-out.md - - name: Partition around limits - href: guide/design-principles/partition.md - - name: Design for operations - href: guide/design-principles/design-for-operations.md - - name: Use managed services - href: guide/design-principles/managed-services.md - - name: Use the best data store for the job - href: guide/design-principles/use-the-best-data-store.md - - name: Design for evolution - href: guide/design-principles/design-for-evolution.md - - name: Build for the needs of business - href: guide/design-principles/build-for-business.md - - name: Choosing a compute service - items: - - name: Overview - href: guide/technology-choices/compute-overview.md - - name: Decision tree - href: guide/technology-choices/compute-decision-tree.md - - name: Compute comparison - href: guide/technology-choices/compute-comparison.md - - name: Best Practices + href: patterns/index.md + - name: Categories + items: + - name: Availability + href: patterns/category/availability.md + - name: Data management + href: patterns/category/data-management.md + - name: Design and implementation + href: patterns/category/design-implementation.md + - name: Messaging + href: patterns/category/messaging.md + - name: Management and monitoring + href: patterns/category/management-monitoring.md + - name: Performance and scalability + href: patterns/category/performance-scalability.md + - name: Resiliency + href: patterns/category/resiliency.md + - name: Security + href: patterns/category/security.md + - name: Ambassador + href: patterns/ambassador.md + - name: Anti-corruption Layer + href: patterns/anti-corruption-layer.md + - name: Backends for Frontends + href: patterns/backends-for-frontends.md + - name: Bulkhead + href: patterns/bulkhead.md + - name: Cache-Aside + href: patterns/cache-aside.md + - name: Circuit Breaker + href: patterns/circuit-breaker.md + - name: Claim Check + href: patterns/claim-check.md + - name: Command and Query Responsibility Segregation (CQRS) + href: patterns/cqrs.md + - name: Compensating Transaction + href: patterns/compensating-transaction.md + - name: Competing Consumers + href: patterns/competing-consumers.md + - name: Compute Resource Consolidation + href: patterns/compute-resource-consolidation.md + - name: Event Sourcing + href: patterns/event-sourcing.md + - name: External Configuration Store + href: patterns/external-configuration-store.md + - name: Federated Identity + href: patterns/federated-identity.md + - name: Gatekeeper + href: patterns/gatekeeper.md + - name: Gateway Aggregation + href: patterns/gateway-aggregation.md + - name: Gateway Offloading + href: patterns/gateway-offloading.md + - name: Gateway Routing + href: patterns/gateway-routing.md + - name: Health Endpoint Monitoring + href: patterns/health-endpoint-monitoring.md + - name: Index Table + href: patterns/index-table.md + - name: Leader Election + href: patterns/leader-election.md + - name: Materialized View + href: patterns/materialized-view.md + - name: Pipes and Filters + href: patterns/pipes-and-filters.md + - name: Priority Queue + href: patterns/priority-queue.md + - name: Publisher/Subscriber + href: patterns/publisher-subscriber.md + - name: Queue-Based Load Leveling + href: patterns/queue-based-load-leveling.md + - name: Retry + href: patterns/retry.md + - name: Scheduler Agent Supervisor + href: patterns/scheduler-agent-supervisor.md + - name: Sharding + href: patterns/sharding.md + - name: Sidecar + href: patterns/sidecar.md + - name: Static Content Hosting + href: patterns/static-content-hosting.md + - name: Strangler + href: patterns/strangler.md + - name: Throttling + href: patterns/throttling.md + - name: Valet Key + href: patterns/valet-key.md + + - name: Best practices for cloud applications items: - name: API design href: best-practices/api-design.md @@ -141,11 +181,12 @@ items: href: best-practices/monitoring.md - name: Naming conventions href: best-practices/naming-conventions.md - - name: Retry guidance for specific services - href: best-practices/retry-service-specific.md - name: Transient fault handling href: best-practices/transient-faults.md - - name: Performance Antipatterns + - name: Retry guidance for specific services + href: best-practices/retry-service-specific.md + + - name: Performance antipatterns items: - name: Overview href: antipatterns/index.md @@ -165,6 +206,7 @@ items: href: antipatterns/no-caching/index.md - name: Synchronous I/O href: antipatterns/synchronous-io/index.md + - name: Azure for AWS Professionals items: - name: Overview @@ -172,168 +214,93 @@ items: - name: Services comparison href: aws-professional/services.md -- name: Design Patterns - items: - - name: Overview - href: patterns/index.md - - name: Ambassador - href: patterns/ambassador.md - - name: Anti-corruption Layer - href: patterns/anti-corruption-layer.md - - name: Availability - href: patterns/category/availability.md - - name: Backends for Frontends - href: patterns/backends-for-frontends.md - - name: Bulkhead - href: patterns/bulkhead.md - - name: Cache-Aside - href: patterns/cache-aside.md - - name: Circuit Breaker - href: patterns/circuit-breaker.md - - name: Claim Check - href: patterns/claim-check.md - - name: Command and Query Responsibility Segregation (CQRS) - href: patterns/cqrs.md - - name: Compensating Transaction - href: patterns/compensating-transaction.md - - name: Competing Consumers - href: patterns/competing-consumers.md - - name: Compute Resource Consolidation - href: patterns/compute-resource-consolidation.md - - name: Data management - href: patterns/category/data-management.md - - name: Design and implementation - href: patterns/category/design-implementation.md - - name: Event Sourcing - href: patterns/event-sourcing.md - - name: External Configuration Store - href: patterns/external-configuration-store.md - - name: Federated Identity - href: patterns/federated-identity.md - - name: Gatekeeper - href: patterns/gatekeeper.md - - name: Gateway Aggregation - href: patterns/gateway-aggregation.md - - name: Gateway Offloading - href: patterns/gateway-offloading.md - - name: Gateway Routing - href: patterns/gateway-routing.md - - name: Health Endpoint Monitoring - href: patterns/health-endpoint-monitoring.md - - name: Index Table - href: patterns/index-table.md - - name: Leader Election - href: patterns/leader-election.md - - name: Management and monitoring - href: patterns/category/management-monitoring.md - - name: Materialized View - href: patterns/materialized-view.md - - name: Messaging - href: patterns/category/messaging.md - - name: Performance and scalability - href: patterns/category/performance-scalability.md - - name: Pipes and Filters - href: patterns/pipes-and-filters.md - - name: Priority Queue - href: patterns/priority-queue.md - - name: Publisher/Subscriber - href: patterns/publisher-subscriber.md - - name: Queue-Based Load Leveling - href: patterns/queue-based-load-leveling.md - - name: Resiliency - href: patterns/category/resiliency.md - - name: Retry - href: patterns/retry.md - - name: Scheduler Agent Supervisor - href: patterns/scheduler-agent-supervisor.md - - name: Security - href: patterns/category/security.md - - name: Sharding - href: patterns/sharding.md - - name: Sidecar - href: patterns/sidecar.md - - name: Static Content Hosting - href: patterns/static-content-hosting.md - - name: Strangler - href: patterns/strangler.md - - name: Throttling - href: patterns/throttling.md - - name: Valet Key - href: patterns/valet-key.md - -- name: Pillars of software quality +- name: Example scenarios items: - name: Overview - href: guide/pillars.md - - name: Reliability + href: example-scenario/index.md + - name: AI items: - - name: Overview - href: reliability/index.md - - name: Define requirements - href: reliability/requirements.md - - name: Architect for reliability - href: reliability/architect.md - - name: Test for reliability - href: reliability/testing.md - - name: Deploy for reliability - href: reliability/deploy.md - - name: Monitor application health - href: reliability/monitoring.md - - name: Respond to failures and disasters - href: reliability/disaster-recovery.md - - name: Resiliency + - name: Hotel reservation chatbot + href: example-scenario/ai/commerce-chatbot.md + - name: Image classification + href: example-scenario/ai/intelligent-apps-image-processing.md + - name: Movie recommendation + href: example-scenario/ai/movie-recommendations.md + - name: Newsfeed ingestion + href: example-scenario/ai/newsfeed-ingestion.md + - name: Scalable personalization + href: example-scenario/ai/scalable-personalization.md + - name: Apps items: - - name: Checklist - href: checklist/resiliency-per-service.md - - name: Failure mode analysis - href: resiliency/failure-mode-analysis.md - - name: Recover from a region-wide service disruption - href: resiliency/recovery-loss-azure-region.md - - name: Recover from data corruption or accidental deletion - href: resiliency/recovery-data-corruption.md - - name: Security - items: - - name: Overview - href: security/overview.md - - name: Security design principles - href: security/security-principles.md - - name: Types of attacks to resist - href: security/architecture-type.md - - name: Regulatory compliance - href: security/law-authority.md - - name: Reduce organizational risk - href: security/resilience.md - - name: Governance, risk, and compliance - href: security/governance.md - - name: Identity and access management - href: security/identity.md - - name: Network security and containment - href: security/network-security-containment.md - - name: Storage, data, and encryption - href: security/storage-data-encryption.md - - name: Applications and services - href: security/applications-services.md - - name: Administration - href: security/critical-impact-accounts.md - - name: Security operations - href: security/security-operations.md - - name: Scalability + - name: Computer-aided engineering + href: example-scenario/apps/hpc-saas.md + - name: Decentralized trust between banks + href: example-scenario/apps/decentralized-trust.md + - name: DevOps with containers + href: example-scenario/apps/devops-with-aks.md + - name: DevOps with Azure DevOps + href: example-scenario/apps/devops-dotnet-webapp.md + - name: SAP for dev/test + href: example-scenario/apps/sap-dev-test.md + - name: SAP for production + href: example-scenario/apps/sap-production.md + - name: E-commerce front-end + href: example-scenario/apps/ecommerce-scenario.md + - name: E-commerce API management + href: example-scenario/apps/apim-api-scenario.md + - name: E-commerce product search + href: example-scenario/apps/ecommerce-search.md + - name: Publishing internal APIs externally + href: example-scenario/apps/publish-internal-apis-externally.md + - name: Jenkins server + href: example-scenario/apps/jenkins.md + - name: Securely managed web applications + href: example-scenario/apps/fully-managed-secure-apps.md + - name: Telehealth System + href: example-scenario/apps/telehealth-system.md + - name: Data and analytics items: - - name: Checklist - href: checklist/scalability.md - -- name: Technologies - expanded: true - items: - - name: AI and machine learning + - name: Hybrid ETL with Data Factory + href: example-scenario/data/hybrid-etl-with-adf.md + - name: IoT for construction + href: example-scenario/data/big-data-with-iot.md + - name: Data warehousing and analytics + href: example-scenario/data/data-warehouse.md + - name: Automotive IoT data + href: example-scenario/data/realtime-analytics-vehicle-iot.md + - name: Real-time fraud detection + href: example-scenario/data/fraud-detection.md + - name: Scalable order processing + href: example-scenario/data/ecommerce-order-processing.md + - name: Infrastructure items: + - name: Computational fluid dynamics (CFD) + href: example-scenario/infrastructure/hpc-cfd.md + - name: Linux virtual desktops + href: example-scenario/infrastructure/linux-vdi-citrix.md + - name: Decomposing monolithic applications + href: example-scenario/infrastructure/service-fabric-microservices.md + - name: Highly scalable WordPress + href: example-scenario/infrastructure/wordpress.md + - name: Highly Available Web Application + href: example-scenario/infrastructure/multi-tier-app-disaster-recovery.md + - name: Multi-tier Windows + href: example-scenario/infrastructure/regulated-multitier-app.md + - name: HPC video rendering + href: example-scenario/infrastructure/video-rendering.md + - name: Image Modeling + href: example-scenario/infrastructure/image-modeling.md + +- name: Reference architectures + items: - name: Overview - href: data-guide/big-data/machine-learning-at-scale.md - - name: Reference architectures + href: reference-architectures/index.md + + - name: AI items: - name: Training and scoring Python models items: - - name: Training of Python scikit-learn models + - name: Training of Python and deep learning models href: reference-architectures/ai/training-python-models.md - name: Distributed training of deep learning models href: reference-architectures/ai/training-deep-learning.md @@ -345,232 +312,58 @@ items: href: reference-architectures/ai/realtime-scoring-python.md - name: MLOps for Python models using Azure Machine Learning href: reference-architectures/ai/mlops-python.md + - name: Scoring R models items: - name: Batch scoring of R models href: reference-architectures/ai/batch-scoring-R-models.md - name: Real-time scoring of R models href: reference-architectures/ai/realtime-scoring-r.md + - name: Batch scoring of Spark models on Azure Databricks href: reference-architectures/ai/batch-scoring-databricks.md + - name: Conversational bot href: reference-architectures/ai/conversational-bot.md - name: Real-time recommendation API href: reference-architectures/ai/real-time-recommendation.md - - name: Technology choices - items: - - name: Cognitive services - href: data-guide/technology-choices/cognitive-services.md - - name: Machine learning - href: data-guide/technology-choices/data-science-and-machine-learning.md - - name: Natural language processing - href: data-guide/technology-choices/natural-language-processing.md - - name: R developer's guide to Azure - href: data-guide/technology-choices/r-developers-guide.md - - name: Example workloads - items: - - name: Hotel reservation chatbot - href: example-scenario/ai/commerce-chatbot.md - - name: Image classification - href: example-scenario/ai/intelligent-apps-image-processing.md - - name: Movie recommendation - href: example-scenario/ai/movie-recommendations.md - - name: Newsfeed ingestion - href: example-scenario/ai/newsfeed-ingestion.md - - name: Scalable personalization - href: example-scenario/ai/scalable-personalization.md - - - name: Blockchain - items: - - name: Example workloads - items: - - name: Decentralized trust between banks - href: example-scenario/apps/decentralized-trust.md - - - name: Data architectures - items: - - name: Guides - items: - - name: Overview - href: data-guide/index.md - - name: Relational Data - items: - - name: Extract, transform, and load (ETL) - href: data-guide/relational-data/etl.md - - name: Online analytical processing (OLAP) - href: data-guide/relational-data/online-analytical-processing.md - - name: Online transaction processing (OLTP) - href: data-guide/relational-data/online-transaction-processing.md - - name: Data Warehousing - href: data-guide/relational-data/data-warehousing.md - - name: Big Data - items: - - name: Big Data architectures - href: data-guide/big-data/index.md - - name: Batch processing - href: data-guide/big-data/batch-processing.md - - name: Non-relational data stores - href: data-guide/big-data/non-relational-data.md - - name: Real time processing - href: data-guide/big-data/real-time-processing.md - - name: Technology choices - items: - - name: Overview - href: guide/technology-choices/data-store-overview.md - - name: Analytical data stores - href: data-guide/technology-choices/analytical-data-stores.md - - name: Analytics and reporting - href: data-guide/technology-choices/analysis-visualizations-reporting.md - - name: Batch processing - href: data-guide/technology-choices/batch-processing.md - - name: Data storage - href: data-guide/technology-choices/data-storage.md - - name: Data store comparison - href: guide/technology-choices/data-store-comparison.md - - name: Pipeline orchestration - href: data-guide/technology-choices/pipeline-orchestration-data-movement.md - - name: Real-time message ingestion - href: data-guide/technology-choices/real-time-ingestion.md - - name: Search data stores - href: data-guide/technology-choices/search-options.md - - name: Stream processing - href: data-guide/technology-choices/stream-processing.md - - name: Databricks Monitoring - items: - - name: Overview - href: databricks-monitoring/index.md - - name: Send Databricks application logs to Azure Monitor - href: databricks-monitoring/application-logs.md - - name: Use dashboards to visualize Databricks metrics - href: databricks-monitoring/dashboards.md - - name: Troubleshoot performance bottlenecks - href: databricks-monitoring/performance-troubleshooting.md - - name: Reference architectures + - name: Big data items: - - name: Automated enterprise BI with Azure Data Factory - href: reference-architectures/data/enterprise-bi-adf.md - name: Enterprise BI with SQL Data Warehouse href: reference-architectures/data/enterprise-bi-sqldw.md + - name: Automated enterprise BI with Azure Data Factory + href: reference-architectures/data/enterprise-bi-adf.md - name: Stream processing with Azure Databricks href: reference-architectures/data/stream-processing-databricks.md - name: Stream processing with Azure Stream Analytics href: reference-architectures/data/stream-processing-stream-analytics.md - - name: Example workloads - items: - - name: Advanced analytics - href: data-guide/scenarios/advanced-analytics.md - - name: Data lakes - href: data-guide/scenarios/data-lake.md - - name: Data transfer - href: data-guide/scenarios/data-transfer.md - - name: Data warehousing and analytics - href: example-scenario/data/data-warehouse.md - - name: Extending on-premises data solutions to the cloud - href: data-guide/scenarios/hybrid-on-premises-and-cloud.md - - name: Free-form text search - href: data-guide/scenarios/search.md - - name: Hybrid ETL with Data Factory - href: example-scenario/data/hybrid-etl-with-adf.md - - name: Interactive data exploration - href: data-guide/scenarios/interactive-data-exploration.md - - name: IoT for construction - href: example-scenario/data/big-data-with-iot.md - - name: Natural language processing - href: data-guide/scenarios/natural-language-processing.md - - name: Real-time fraud detection - href: example-scenario/data/fraud-detection.md - - name: Scalable order processing - href: example-scenario/data/ecommerce-order-processing.md - - name: Securing data solutions - href: data-guide/scenarios/securing-data-solutions.md - - name: Time series solutions - href: data-guide/scenarios/time-series.md - - name: Working with CSV and JSON files - href: data-guide/scenarios/csv-and-json.md - - - name: DevOps - items: - - name: Checklist - href: checklist/dev-ops.md - - name: Guides - items: - - name: Extending Resource Manager Templates - items: - - name: Overview - href: building-blocks/extending-templates/index.md - - name: Update a resource - href: building-blocks/extending-templates/update-resource.md - - name: Conditionally deploy a resource - href: building-blocks/extending-templates/conditional-deploy.md - - name: Use an object as a parameter - href: building-blocks/extending-templates/objects-as-parameters.md - - name: Property transformer and collector - href: building-blocks/extending-templates/collector.md - - name: Example workloads - items: - - name: DevOps with Azure DevOps - href: example-scenario/apps/devops-dotnet-webapp.md - - name: DevOps with containers - href: example-scenario/apps/devops-with-aks.md - - name: Jenkins server - href: example-scenario/apps/jenkins.md - - name: Enterprise integration - items: - - name: Reference architectures + - name: Enterprise integration items: - name: Basic enterprise integration href: reference-architectures/enterprise-integration/basic-enterprise-integration.md - name: Enterprise integration with queues and events href: reference-architectures/enterprise-integration/queues-events.md - - name: High performance computing (HPC) - items: - - name: Overview - href: topics/high-performance-computing.md - - name: Example workloads + - name: Hybrid networks items: - - name: Computational fluid dynamics (CFD) - href: example-scenario/infrastructure/hpc-cfd.md - - name: Computer-aided engineering - href: example-scenario/apps/hpc-saas.md - - name: HPC video rendering - href: example-scenario/infrastructure/video-rendering.md - - name: Image Modeling - href: example-scenario/infrastructure/image-modeling.md - - name: Linux virtual desktops - href: example-scenario/infrastructure/linux-vdi-citrix.md + - name: Choose a hybrid network architecture + href: reference-architectures/hybrid-networking/index.md + - name: VPN + href: reference-architectures/hybrid-networking/vpn.md + - name: ExpressRoute + href: reference-architectures/hybrid-networking/expressroute.md + - name: ExpressRoute with VPN failover + href: reference-architectures/hybrid-networking/expressroute-vpn-failover.md + - name: Hub-spoke topology + href: reference-architectures/hybrid-networking/hub-spoke.md + - name: Hub-spoke topology with shared services + href: reference-architectures/hybrid-networking/shared-services.md + - name: Troubleshoot a hybrid VPN connection + href: reference-architectures/hybrid-networking/troubleshoot-vpn.md - - name: Identity - items: - - name: Guides - items: - - name: Identity in multitenant applications - items: - - name: Introduction - href: multitenant-identity/index.md - - name: The Tailspin scenario - href: multitenant-identity/tailspin.md - - name: Authentication - href: multitenant-identity/authenticate.md - - name: Claims-based identity - href: multitenant-identity/claims.md - - name: Tenant sign-up - href: multitenant-identity/signup.md - - name: Application roles - href: multitenant-identity/app-roles.md - - name: Authorization - href: multitenant-identity/authorize.md - - name: Secure a web API - href: multitenant-identity/web-api.md - - name: Cache access tokens - href: multitenant-identity/token-cache.md - - name: Client assertion - href: multitenant-identity/client-assertion.md - - name: Federate with a customer's AD FS - href: multitenant-identity/adfs.md - - name: Reference architectures + - name: Identity management items: - name: Choose an Active Directory integration architecture href: reference-architectures/identity/index.md @@ -583,92 +376,17 @@ items: - name: Extend AD FS to Azure href: reference-architectures/identity/adfs.md - - name: Internet of Things (IoT) - items: - - name: Reference architectures - items: - - name: Internet of Things (IoT) - href: reference-architectures/iot/index.md - - name: Example workloads - items: - - name: Automotive IoT data - href: example-scenario/data/realtime-analytics-vehicle-iot.md - - name: Telehealth System - href: example-scenario/apps/telehealth-system.md + - name: Internet of Things (IoT) + href: reference-architectures/iot/index.md - - name: Microservices - items: - - name: Overview - href: microservices/index.md - - name: Introduction to microservices - href: microservices/introduction.md - - name: Guides - items: - - name: Modeling microservices - items: - - name: Domain analysis - href: microservices/model/domain-analysis.md - - name: Tactical DDD - href: microservices/model/tactical-ddd.md - - name: Identify microservice boundaries - href: microservices/model/microservice-boundaries.md - - name: Design a microservices architecture - items: - - name: Introduction - href: microservices/design/index.md - - name: Choose a compute option - href: microservices/design/compute-options.md - - name: Interservice communication - href: microservices/design/interservice-communication.md - - name: API design - href: microservices/design/api-design.md - - name: API gateways - href: microservices/design/gateway.md - - name: Data considerations - href: microservices/design/data-considerations.md - - name: Design patterns for microservices - href: microservices/design/patterns.md - - name: Operate microservices in production - items: - - name: Monitor microservices in Azure Kubernetes Service (AKS) - href: microservices/logging-monitoring.md - - name: CI/CD for microservices - href: microservices/ci-cd.md - - name: CI/CD for microservices on Kubernetes - href: microservices/ci-cd-kubernetes.md - - name: Modernize enterprise applications with Azure Service Fabric - href: service-fabric/modernize-app-azure-service-fabric.md - - name: Migrate from Cloud Services to Service Fabric - href: service-fabric/migrate-from-cloud-services.md - - name: Reference architectures + - name: Microservices items: - name: Azure Kubernetes Service (AKS) href: reference-architectures/microservices/aks.md - name: Azure Service Fabric href: reference-architectures/microservices/service-fabric.md - - name: Example workloads - items: - - name: Decomposing a monolithic application - href: example-scenario/infrastructure/service-fabric-microservices.md - - name: Networking - items: - - name: Hybrid networking - items: - - name: Choose a hybrid network architecture - href: reference-architectures/hybrid-networking/index.md - - name: VPN - href: reference-architectures/hybrid-networking/vpn.md - - name: ExpressRoute - href: reference-architectures/hybrid-networking/expressroute.md - - name: ExpressRoute with VPN failover - href: reference-architectures/hybrid-networking/expressroute-vpn-failover.md - - name: Troubleshoot a hybrid VPN connection - href: reference-architectures/hybrid-networking/troubleshoot-vpn.md - - name: Hub-spoke topology - href: reference-architectures/hybrid-networking/hub-spoke.md - - name: Hub-spoke topology with shared services - href: reference-architectures/hybrid-networking/shared-services.md + - name: Network DMZ items: - name: DMZ between Azure and on-premises @@ -678,55 +396,42 @@ items: - name: Highly available network virtual appliances href: reference-architectures/dmz/nva-ha.md - - name: Serverless applications - items: - - name: Overview - href: serverless/index.md - - name: Reference architectures + - name: SAP + items: + - name: SAP NetWeaver for AnyDB + href: reference-architectures/sap/sap-netweaver.md + - name: SAP S/4HANA + href: reference-architectures/sap/sap-s4hana.md + - name: SAP HANA on Azure Large Instances + href: reference-architectures/sap/hana-large-instances.md + + - name: Serverless items: - - name: Serverless event processing + - name: Overview + href: serverless/overview.md + - name: Walk through a serverless solution + href: serverless/index.md + - name: Serverless event processing guidelines href: reference-architectures/serverless/event-processing.md - - name: Serverless web application + - name: Serverless web application guidelines href: reference-architectures/serverless/web-app.md - - name: VM workloads - items: - - name: Reference architectures - items: - - name: Linux VM deployment + - name: VM workloads + items: + - name: Single Linux VM href: reference-architectures/n-tier/linux-vm.md - - name: Windows VM deployment + - name: Single Windows VM href: reference-architectures/n-tier/windows-vm.md - - name: N-tier application with Cassandra (Linux) - href: reference-architectures/n-tier/n-tier-cassandra.md - - name: N-tier application with SQL Server (Windows) + - name: N-tier application with SQL Server href: reference-architectures/n-tier/n-tier-sql-server.md - name: Multi-region N-tier application href: reference-architectures/n-tier/multi-region-sql-server.md - - name: Example workloads - items: - - name: Highly scalable WordPress - href: example-scenario/infrastructure/wordpress.md - - name: Multi-tier Windows - href: example-scenario/infrastructure/regulated-multitier-app.md - - name: SAP - items: - - name: SAP HANA on Azure Large Instances - href: reference-architectures/sap/hana-large-instances.md - - name: SAP NetWeaver for AnyDB - href: reference-architectures/sap/sap-netweaver.md - - name: SAP S/4HANA - href: reference-architectures/sap/sap-s4hana.md - - name: SAP for dev/test - href: example-scenario/apps/sap-dev-test.md - - name: SAP for production - href: example-scenario/apps/sap-production.md + - name: N-tier application with Cassandra + href: reference-architectures/n-tier/n-tier-cassandra.md - name: SharePoint Server 2016 href: reference-architectures/sharepoint/index.md - - name: Web apps - items: - - name: Reference architectures + - name: Web applications items: - name: Basic web application href: reference-architectures/app-service-web-app/basic-web-app.md @@ -736,21 +441,239 @@ items: href: reference-architectures/app-service-web-app/multi-region.md - name: Web application monitoring href: reference-architectures/app-service-web-app/app-monitoring.md - - name: Example workloads - items: - - name: E-commerce API management - href: example-scenario/apps/apim-api-scenario.md - - name: E-commerce front-end - href: example-scenario/apps/ecommerce-scenario.md - - name: E-commerce product search - href: example-scenario/apps/ecommerce-search.md - - name: Publishing internal APIs externally - href: example-scenario/apps/publish-internal-apis-externally.md - - name: Securely managed web application - href: example-scenario/apps/fully-managed-secure-apps.md - - name: Highly available web application - href: example-scenario/infrastructure/multi-tier-app-disaster-recovery.md +- name: Build microservices on Azure + items: + - name: Overview + href: microservices/index.md + - name: Introduction to microservices + href: microservices/introduction.md + - name: Model microservices + items: + - name: Domain analysis + href: microservices/model/domain-analysis.md + - name: Tactical DDD + href: microservices/model/tactical-ddd.md + - name: Identify microservice boundaries + href: microservices/model/microservice-boundaries.md + - name: Design a microservices architecture + items: + - name: Introduction + href: microservices/design/index.md + - name: Choose a compute option + href: microservices/design/compute-options.md + - name: Interservice communication + href: microservices/design/interservice-communication.md + - name: API design + href: microservices/design/api-design.md + - name: API gateways + href: microservices/design/gateway.md + - name: Data considerations + href: microservices/design/data-considerations.md + - name: Design patterns for microservices + href: microservices/design/patterns.md + - name: Operate microservices in production + items: + - name: Monitor microservices in Azure Kubernetes Service (AKS) + href: microservices/logging-monitoring.md + - name: CI/CD for microservices + href: microservices/ci-cd.md + - name: CI/CD for microservices on Kubernetes + href: microservices/ci-cd-kubernetes.md + +- name: Data architectures for Azure + items: + - name: Overview + href: data-guide/index.md + - name: Online transaction processing (OLTP) + href: data-guide/relational-data/online-transaction-processing.md + - name: Online analytical processing (OLAP) + href: data-guide/relational-data/online-analytical-processing.md + - name: Data warehousing + items: + - name: Overview + href: data-guide/relational-data/data-warehousing.md + - name: Extract, transform, and load (ETL) + href: data-guide/relational-data/etl.md + - name: Big data architectures + items: + - name: Overview + href: data-guide/big-data/index.md + - name: Batch processing + href: data-guide/big-data/batch-processing.md + - name: Real time processing + href: data-guide/big-data/real-time-processing.md + - name: Machine learning at scale + href: data-guide/big-data/machine-learning-at-scale.md + - name: Non-relational data stores + href: data-guide/big-data/non-relational-data.md + - name: Scenarios + items: + - name: Advanced analytics + href: data-guide/scenarios/advanced-analytics.md + - name: Data lakes + href: data-guide/scenarios/data-lake.md + - name: Free-form text search + href: data-guide/scenarios/search.md + - name: Interactive data exploration + href: data-guide/scenarios/interactive-data-exploration.md + - name: Natural language processing + href: data-guide/scenarios/natural-language-processing.md + - name: Time series solutions + href: data-guide/scenarios/time-series.md + - name: Working with CSV and JSON files + href: data-guide/scenarios/csv-and-json.md + - name: Technology choices + items: + - name: Analytical data stores + href: data-guide/technology-choices/analytical-data-stores.md + - name: Analytics and reporting + href: data-guide/technology-choices/analysis-visualizations-reporting.md + - name: Batch processing + href: data-guide/technology-choices/batch-processing.md + - name: Cognitive services + href: data-guide/technology-choices/cognitive-services.md + - name: Data storage + href: data-guide/technology-choices/data-storage.md + - name: Machine learning + href: data-guide/technology-choices/data-science-and-machine-learning.md + - name: Natural language processing + href: data-guide/technology-choices/natural-language-processing.md + - name: Pipeline orchestration + href: data-guide/technology-choices/pipeline-orchestration-data-movement.md + - name: R developer's guide to Azure + href: data-guide/technology-choices/r-developers-guide.md + - name: Real-time message ingestion + href: data-guide/technology-choices/real-time-ingestion.md + - name: Search data stores + href: data-guide/technology-choices/search-options.md + - name: Stream processing + href: data-guide/technology-choices/stream-processing.md + + - name: Monitoring Azure Databricks + items: + - name: Overview + href: databricks-monitoring/index.md + - name: Send Databricks application logs to Azure Monitor + href: databricks-monitoring/application-logs.md + - name: Use dashboards to visualize Databricks metrics + href: databricks-monitoring/dashboards.md + - name: Troubleshoot performance bottlenecks + href: databricks-monitoring/performance-troubleshooting.md + + - name: Cross-cutting concerns + items: + - name: Data transfer + href: data-guide/scenarios/data-transfer.md + - name: Extending on-premises data solutions to the cloud + href: data-guide/scenarios/hybrid-on-premises-and-cloud.md + - name: Securing data solutions + href: data-guide/scenarios/securing-data-solutions.md + +- name: Design guides + items: + - name: Extend Azure Resource Manager templates + items: + - name: Introduction + href: building-blocks/extending-templates/index.md + - name: Update a resource + href: building-blocks/extending-templates/update-resource.md + - name: Conditionally deploy a resource + href: building-blocks/extending-templates/conditional-deploy.md + - name: Use an object as a parameter + href: building-blocks/extending-templates/objects-as-parameters.md + - name: Property transformer and collector + href: building-blocks/extending-templates/collector.md + - name: Manage multitenant identity + items: + - name: Introduction + href: multitenant-identity/index.md + - name: The Tailspin scenario + href: multitenant-identity/tailspin.md + - name: Authentication + href: multitenant-identity/authenticate.md + - name: Claims-based identity + href: multitenant-identity/claims.md + - name: Tenant sign-up + href: multitenant-identity/signup.md + - name: Application roles + href: multitenant-identity/app-roles.md + - name: Authorization + href: multitenant-identity/authorize.md + - name: Secure a web API + href: multitenant-identity/web-api.md + - name: Cache access tokens + href: multitenant-identity/token-cache.md + - name: Client assertion + href: multitenant-identity/client-assertion.md + - name: Protect application secrets + href: multitenant-identity/key-vault.md + - name: Federate with a customer's AD FS + href: multitenant-identity/adfs.md + - name: Run the Surveys application + href: multitenant-identity/run-the-app.md + - name: Modernize enterprise applications with Azure Service Fabric + href: service-fabric/modernize-app-azure-service-fabric.md + - name: Migrate from Cloud Services to Service Fabric + href: service-fabric/migrate-from-cloud-services.md + +- name: Design Review Framework + items: + - name: Design reliable Azure applications + items: + - name: Overview + href: reliability/index.md + - name: Define requirements + href: reliability/requirements.md + - name: Architect for reliability + href: reliability/architect.md + - name: Test for reliability + href: reliability/testing.md + - name: Deploy for reliability + href: reliability/deploy.md + - name: Monitor application health + href: reliability/monitoring.md + - name: Respond to failures and disasters + href: reliability/disaster-recovery.md + - name: Resiliency checklist for Azure services + href: checklist/resiliency-per-service.md + - name: Failure mode analysis + href: resiliency/failure-mode-analysis.md + - name: Recover from a region-wide service disruption + href: resiliency/recovery-loss-azure-region.md + - name: Recover from data corruption or accidental deletion + href: resiliency/recovery-data-corruption.md + - name: Secure your Azure applications + items: + - name: Role of security + href: security/overview.md + - name: Security design principles + href: security/security-principles.md + - name: Types of attacks to resist + href: security/architecture-type.md + - name: Regulatory compliance + href: security/law-authority.md + - name: Reduce organizational risk + href: security/resilience.md + - name: Governance, risk, and compliance + href: security/governance.md + - name: Identity and access management + href: security/identity.md + - name: Network security and containment + href: security/network-security-containment.md + - name: Storage, data, and encryption + href: security/storage-data-encryption.md + - name: Applications and services + href: security/applications-services.md + - name: Administration + href: security/critical-impact-accounts.md + - name: Security operations + href: security/security-operations.md + + - name: DevOps checklist + href: checklist/dev-ops.md + - name: Scalability checklist + href: checklist/scalability.md - name: Cloud Adoption Framework items: - name: Introduction @@ -1477,4 +1400,4 @@ items: - name: Virtual Datacenter (VDC) href: vdc/index.md - name: How does Azure work? - href: cloud-adoption/getting-started/what-is-azure.md + href: cloud-adoption/getting-started/what-is-azure.md \ No newline at end of file From 464f3999622fbbb25fd405dbe2efb79ee80bd2c7 Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Sun, 11 Aug 2019 00:31:21 -0700 Subject: [PATCH 10/19] Fixing toc.yml --- docs/toc.yml | 1050 +++++++++++++++++++++++++------------------------- 1 file changed, 531 insertions(+), 519 deletions(-) diff --git a/docs/toc.yml b/docs/toc.yml index 5c40a15b02c..f432d0beb0d 100644 --- a/docs/toc.yml +++ b/docs/toc.yml @@ -1,165 +1,60 @@ -metadata: - experimental: true - experiment_id: "1eb71ad0-d9de-43" items: - name: Azure Architecture Center href: index.md -- name: Cloud fundamentals +- name: Application architecture guide items: - - name: Application architecture guide + - name: Introduction + href: guide/index.md + - name: Architecture Styles items: - - name: Introduction - href: guide/index.md - - name: Architecture styles - items: - - name: Overview - href: guide/architecture-styles/index.md - - name: N-tier application - href: guide/architecture-styles/n-tier.md - - name: Web-queue-worker - href: guide/architecture-styles/web-queue-worker.md - - name: Microservices - href: guide/architecture-styles/microservices.md - - name: Event-driven architecture - href: guide/architecture-styles/event-driven.md - - name: Big data - href: guide/architecture-styles/big-data.md - - name: Big compute - href: guide/architecture-styles/big-compute.md - - name: Choosing a compute service - items: - - name: Overview - href: guide/technology-choices/compute-overview.md - - name: Decision tree - href: guide/technology-choices/compute-decision-tree.md - - name: Compute comparison - href: guide/technology-choices/compute-comparison.md - - name: Choosing a data store - items: - - name: Overview - href: guide/technology-choices/data-store-overview.md - - name: Data store comparison - href: guide/technology-choices/data-store-comparison.md - - name: Design principles - items: - - name: Overview - href: guide/design-principles/index.md - - name: Design for self-healing - href: guide/design-principles/self-healing.md - - name: Make all things redundant - href: guide/design-principles/redundancy.md - - name: Minimize coordination - href: guide/design-principles/minimize-coordination.md - - name: Design to scale out - href: guide/design-principles/scale-out.md - - name: Partition around limits - href: guide/design-principles/partition.md - - name: Design for operations - href: guide/design-principles/design-for-operations.md - - name: Use managed services - href: guide/design-principles/managed-services.md - - name: Use the best data store for the job - href: guide/design-principles/use-the-best-data-store.md - - name: Design for evolution - href: guide/design-principles/design-for-evolution.md - - name: Build for the needs of business - href: guide/design-principles/build-for-business.md - - name: Pillars of software quality - href: guide/pillars.md - - - name: Cloud design patterns + - name: Overview + href: guide/architecture-styles/index.md + - name: Big compute + href: guide/architecture-styles/big-compute.md + - name: Big data + href: guide/architecture-styles/big-data.md + - name: Event-driven architecture + href: guide/architecture-styles/event-driven.md + - name: Microservices + href: guide/architecture-styles/microservices.md + - name: N-tier application + href: guide/architecture-styles/n-tier.md + - name: Web-queue-worker + href: guide/architecture-styles/web-queue-worker.md + - name: Design Principles items: - name: Overview - href: patterns/index.md - - name: Categories - items: - - name: Availability - href: patterns/category/availability.md - - name: Data management - href: patterns/category/data-management.md - - name: Design and implementation - href: patterns/category/design-implementation.md - - name: Messaging - href: patterns/category/messaging.md - - name: Management and monitoring - href: patterns/category/management-monitoring.md - - name: Performance and scalability - href: patterns/category/performance-scalability.md - - name: Resiliency - href: patterns/category/resiliency.md - - name: Security - href: patterns/category/security.md - - name: Ambassador - href: patterns/ambassador.md - - name: Anti-corruption Layer - href: patterns/anti-corruption-layer.md - - name: Backends for Frontends - href: patterns/backends-for-frontends.md - - name: Bulkhead - href: patterns/bulkhead.md - - name: Cache-Aside - href: patterns/cache-aside.md - - name: Circuit Breaker - href: patterns/circuit-breaker.md - - name: Claim Check - href: patterns/claim-check.md - - name: Command and Query Responsibility Segregation (CQRS) - href: patterns/cqrs.md - - name: Compensating Transaction - href: patterns/compensating-transaction.md - - name: Competing Consumers - href: patterns/competing-consumers.md - - name: Compute Resource Consolidation - href: patterns/compute-resource-consolidation.md - - name: Event Sourcing - href: patterns/event-sourcing.md - - name: External Configuration Store - href: patterns/external-configuration-store.md - - name: Federated Identity - href: patterns/federated-identity.md - - name: Gatekeeper - href: patterns/gatekeeper.md - - name: Gateway Aggregation - href: patterns/gateway-aggregation.md - - name: Gateway Offloading - href: patterns/gateway-offloading.md - - name: Gateway Routing - href: patterns/gateway-routing.md - - name: Health Endpoint Monitoring - href: patterns/health-endpoint-monitoring.md - - name: Index Table - href: patterns/index-table.md - - name: Leader Election - href: patterns/leader-election.md - - name: Materialized View - href: patterns/materialized-view.md - - name: Pipes and Filters - href: patterns/pipes-and-filters.md - - name: Priority Queue - href: patterns/priority-queue.md - - name: Publisher/Subscriber - href: patterns/publisher-subscriber.md - - name: Queue-Based Load Leveling - href: patterns/queue-based-load-leveling.md - - name: Retry - href: patterns/retry.md - - name: Scheduler Agent Supervisor - href: patterns/scheduler-agent-supervisor.md - - name: Sharding - href: patterns/sharding.md - - name: Sidecar - href: patterns/sidecar.md - - name: Static Content Hosting - href: patterns/static-content-hosting.md - - name: Strangler - href: patterns/strangler.md - - name: Throttling - href: patterns/throttling.md - - name: Valet Key - href: patterns/valet-key.md - - - name: Best practices for cloud applications + href: guide/design-principles/index.md + - name: Design for self-healing + href: guide/design-principles/self-healing.md + - name: Make all things redundant + href: guide/design-principles/redundancy.md + - name: Minimize coordination + href: guide/design-principles/minimize-coordination.md + - name: Design to scale out + href: guide/design-principles/scale-out.md + - name: Partition around limits + href: guide/design-principles/partition.md + - name: Design for operations + href: guide/design-principles/design-for-operations.md + - name: Use managed services + href: guide/design-principles/managed-services.md + - name: Use the best data store for the job + href: guide/design-principles/use-the-best-data-store.md + - name: Design for evolution + href: guide/design-principles/design-for-evolution.md + - name: Build for the needs of business + href: guide/design-principles/build-for-business.md + - name: Choosing a compute service + items: + - name: Overview + href: guide/technology-choices/compute-overview.md + - name: Decision tree + href: guide/technology-choices/compute-decision-tree.md + - name: Compute comparison + href: guide/technology-choices/compute-comparison.md + - name: Best Practices items: - name: API design href: best-practices/api-design.md @@ -181,12 +76,11 @@ items: href: best-practices/monitoring.md - name: Naming conventions href: best-practices/naming-conventions.md - - name: Transient fault handling - href: best-practices/transient-faults.md - name: Retry guidance for specific services href: best-practices/retry-service-specific.md - - - name: Performance antipatterns + - name: Transient fault handling + href: best-practices/transient-faults.md + - name: Performance Antipatterns items: - name: Overview href: antipatterns/index.md @@ -206,7 +100,6 @@ items: href: antipatterns/no-caching/index.md - name: Synchronous I/O href: antipatterns/synchronous-io/index.md - - name: Azure for AWS Professionals items: - name: Overview @@ -214,93 +107,168 @@ items: - name: Services comparison href: aws-professional/services.md -- name: Example scenarios +- name: Design Patterns + items: + - name: Overview + href: patterns/index.md + - name: Ambassador + href: patterns/ambassador.md + - name: Anti-corruption Layer + href: patterns/anti-corruption-layer.md + - name: Availability + href: patterns/category/availability.md + - name: Backends for Frontends + href: patterns/backends-for-frontends.md + - name: Bulkhead + href: patterns/bulkhead.md + - name: Cache-Aside + href: patterns/cache-aside.md + - name: Circuit Breaker + href: patterns/circuit-breaker.md + - name: Claim Check + href: patterns/claim-check.md + - name: Command and Query Responsibility Segregation (CQRS) + href: patterns/cqrs.md + - name: Compensating Transaction + href: patterns/compensating-transaction.md + - name: Competing Consumers + href: patterns/competing-consumers.md + - name: Compute Resource Consolidation + href: patterns/compute-resource-consolidation.md + - name: Data management + href: patterns/category/data-management.md + - name: Design and implementation + href: patterns/category/design-implementation.md + - name: Event Sourcing + href: patterns/event-sourcing.md + - name: External Configuration Store + href: patterns/external-configuration-store.md + - name: Federated Identity + href: patterns/federated-identity.md + - name: Gatekeeper + href: patterns/gatekeeper.md + - name: Gateway Aggregation + href: patterns/gateway-aggregation.md + - name: Gateway Offloading + href: patterns/gateway-offloading.md + - name: Gateway Routing + href: patterns/gateway-routing.md + - name: Health Endpoint Monitoring + href: patterns/health-endpoint-monitoring.md + - name: Index Table + href: patterns/index-table.md + - name: Leader Election + href: patterns/leader-election.md + - name: Management and monitoring + href: patterns/category/management-monitoring.md + - name: Materialized View + href: patterns/materialized-view.md + - name: Messaging + href: patterns/category/messaging.md + - name: Performance and scalability + href: patterns/category/performance-scalability.md + - name: Pipes and Filters + href: patterns/pipes-and-filters.md + - name: Priority Queue + href: patterns/priority-queue.md + - name: Publisher/Subscriber + href: patterns/publisher-subscriber.md + - name: Queue-Based Load Leveling + href: patterns/queue-based-load-leveling.md + - name: Resiliency + href: patterns/category/resiliency.md + - name: Retry + href: patterns/retry.md + - name: Scheduler Agent Supervisor + href: patterns/scheduler-agent-supervisor.md + - name: Security + href: patterns/category/security.md + - name: Sharding + href: patterns/sharding.md + - name: Sidecar + href: patterns/sidecar.md + - name: Static Content Hosting + href: patterns/static-content-hosting.md + - name: Strangler + href: patterns/strangler.md + - name: Throttling + href: patterns/throttling.md + - name: Valet Key + href: patterns/valet-key.md + +- name: Pillars of software quality items: - name: Overview - href: example-scenario/index.md - - name: AI + href: guide/pillars.md + - name: Reliability items: - - name: Hotel reservation chatbot - href: example-scenario/ai/commerce-chatbot.md - - name: Image classification - href: example-scenario/ai/intelligent-apps-image-processing.md - - name: Movie recommendation - href: example-scenario/ai/movie-recommendations.md - - name: Newsfeed ingestion - href: example-scenario/ai/newsfeed-ingestion.md - - name: Scalable personalization - href: example-scenario/ai/scalable-personalization.md - - name: Apps + - name: Overview + href: reliability/index.md + - name: Define requirements + href: reliability/requirements.md + - name: Architect for reliability + href: reliability/architect.md + - name: Test for reliability + href: reliability/testing.md + - name: Deploy for reliability + href: reliability/deploy.md + - name: Monitor application health + href: reliability/monitoring.md + - name: Respond to failures and disasters + href: reliability/disaster-recovery.md + - name: Resiliency items: - - name: Computer-aided engineering - href: example-scenario/apps/hpc-saas.md - - name: Decentralized trust between banks - href: example-scenario/apps/decentralized-trust.md - - name: DevOps with containers - href: example-scenario/apps/devops-with-aks.md - - name: DevOps with Azure DevOps - href: example-scenario/apps/devops-dotnet-webapp.md - - name: SAP for dev/test - href: example-scenario/apps/sap-dev-test.md - - name: SAP for production - href: example-scenario/apps/sap-production.md - - name: E-commerce front-end - href: example-scenario/apps/ecommerce-scenario.md - - name: E-commerce API management - href: example-scenario/apps/apim-api-scenario.md - - name: E-commerce product search - href: example-scenario/apps/ecommerce-search.md - - name: Publishing internal APIs externally - href: example-scenario/apps/publish-internal-apis-externally.md - - name: Jenkins server - href: example-scenario/apps/jenkins.md - - name: Securely managed web applications - href: example-scenario/apps/fully-managed-secure-apps.md - - name: Telehealth System - href: example-scenario/apps/telehealth-system.md - - name: Data and analytics + - name: Checklist + href: checklist/resiliency-per-service.md + - name: Failure mode analysis + href: resiliency/failure-mode-analysis.md + - name: Recover from a region-wide service disruption + href: resiliency/recovery-loss-azure-region.md + - name: Recover from data corruption or accidental deletion + href: resiliency/recovery-data-corruption.md + - name: Security + items: + - name: Overview + href: security/overview.md + - name: Security design principles + href: security/security-principles.md + - name: Types of attacks to resist + href: security/architecture-type.md + - name: Regulatory compliance + href: security/law-authority.md + - name: Reduce organizational risk + href: security/resilience.md + - name: Governance, risk, and compliance + href: security/governance.md + - name: Identity and access management + href: security/identity.md + - name: Network security and containment + href: security/network-security-containment.md + - name: Storage, data, and encryption + href: security/storage-data-encryption.md + - name: Applications and services + href: security/applications-services.md + - name: Administration + href: security/critical-impact-accounts.md + - name: Security operations + href: security/security-operations.md + - name: Scalability items: - - name: Hybrid ETL with Data Factory - href: example-scenario/data/hybrid-etl-with-adf.md - - name: IoT for construction - href: example-scenario/data/big-data-with-iot.md - - name: Data warehousing and analytics - href: example-scenario/data/data-warehouse.md - - name: Automotive IoT data - href: example-scenario/data/realtime-analytics-vehicle-iot.md - - name: Real-time fraud detection - href: example-scenario/data/fraud-detection.md - - name: Scalable order processing - href: example-scenario/data/ecommerce-order-processing.md - - name: Infrastructure + - name: Checklist + href: checklist/scalability.md + +- name: Technologies + expanded: true + items: + - name: AI and machine learning items: - - name: Computational fluid dynamics (CFD) - href: example-scenario/infrastructure/hpc-cfd.md - - name: Linux virtual desktops - href: example-scenario/infrastructure/linux-vdi-citrix.md - - name: Decomposing monolithic applications - href: example-scenario/infrastructure/service-fabric-microservices.md - - name: Highly scalable WordPress - href: example-scenario/infrastructure/wordpress.md - - name: Highly Available Web Application - href: example-scenario/infrastructure/multi-tier-app-disaster-recovery.md - - name: Multi-tier Windows - href: example-scenario/infrastructure/regulated-multitier-app.md - - name: HPC video rendering - href: example-scenario/infrastructure/video-rendering.md - - name: Image Modeling - href: example-scenario/infrastructure/image-modeling.md - -- name: Reference architectures - items: - name: Overview - href: reference-architectures/index.md - - - name: AI + href: data-guide/big-data/machine-learning-at-scale.md + - name: Reference architectures items: - name: Training and scoring Python models items: - - name: Training of Python and deep learning models + - name: Training of Python scikit-learn models href: reference-architectures/ai/training-python-models.md - name: Distributed training of deep learning models href: reference-architectures/ai/training-deep-learning.md @@ -312,58 +280,232 @@ items: href: reference-architectures/ai/realtime-scoring-python.md - name: MLOps for Python models using Azure Machine Learning href: reference-architectures/ai/mlops-python.md - - name: Scoring R models items: - name: Batch scoring of R models href: reference-architectures/ai/batch-scoring-R-models.md - name: Real-time scoring of R models href: reference-architectures/ai/realtime-scoring-r.md - - name: Batch scoring of Spark models on Azure Databricks href: reference-architectures/ai/batch-scoring-databricks.md - - name: Conversational bot href: reference-architectures/ai/conversational-bot.md - name: Real-time recommendation API href: reference-architectures/ai/real-time-recommendation.md - - name: Big data + - name: Technology choices + items: + - name: Cognitive services + href: data-guide/technology-choices/cognitive-services.md + - name: Machine learning + href: data-guide/technology-choices/data-science-and-machine-learning.md + - name: Natural language processing + href: data-guide/technology-choices/natural-language-processing.md + - name: R developer's guide to Azure + href: data-guide/technology-choices/r-developers-guide.md + - name: Example workloads + items: + - name: Hotel reservation chatbot + href: example-scenario/ai/commerce-chatbot.md + - name: Image classification + href: example-scenario/ai/intelligent-apps-image-processing.md + - name: Movie recommendation + href: example-scenario/ai/movie-recommendations.md + - name: Newsfeed ingestion + href: example-scenario/ai/newsfeed-ingestion.md + - name: Scalable personalization + href: example-scenario/ai/scalable-personalization.md + + - name: Blockchain + items: + - name: Example workloads + items: + - name: Decentralized trust between banks + href: example-scenario/apps/decentralized-trust.md + + - name: Data architectures + items: + - name: Guides + items: + - name: Overview + href: data-guide/index.md + - name: Relational Data + items: + - name: Extract, transform, and load (ETL) + href: data-guide/relational-data/etl.md + - name: Online analytical processing (OLAP) + href: data-guide/relational-data/online-analytical-processing.md + - name: Online transaction processing (OLTP) + href: data-guide/relational-data/online-transaction-processing.md + - name: Data Warehousing + href: data-guide/relational-data/data-warehousing.md + - name: Big Data + items: + - name: Big Data architectures + href: data-guide/big-data/index.md + - name: Batch processing + href: data-guide/big-data/batch-processing.md + - name: Non-relational data stores + href: data-guide/big-data/non-relational-data.md + - name: Real time processing + href: data-guide/big-data/real-time-processing.md + - name: Technology choices + items: + - name: Overview + href: guide/technology-choices/data-store-overview.md + - name: Analytical data stores + href: data-guide/technology-choices/analytical-data-stores.md + - name: Analytics and reporting + href: data-guide/technology-choices/analysis-visualizations-reporting.md + - name: Batch processing + href: data-guide/technology-choices/batch-processing.md + - name: Data storage + href: data-guide/technology-choices/data-storage.md + - name: Data store comparison + href: guide/technology-choices/data-store-comparison.md + - name: Pipeline orchestration + href: data-guide/technology-choices/pipeline-orchestration-data-movement.md + - name: Real-time message ingestion + href: data-guide/technology-choices/real-time-ingestion.md + - name: Search data stores + href: data-guide/technology-choices/search-options.md + - name: Stream processing + href: data-guide/technology-choices/stream-processing.md + - name: Databricks Monitoring + items: + - name: Overview + href: databricks-monitoring/index.md + - name: Send Databricks application logs to Azure Monitor + href: databricks-monitoring/application-logs.md + - name: Use dashboards to visualize Databricks metrics + href: databricks-monitoring/dashboards.md + - name: Troubleshoot performance bottlenecks + href: databricks-monitoring/performance-troubleshooting.md + - name: Reference architectures items: - - name: Enterprise BI with SQL Data Warehouse - href: reference-architectures/data/enterprise-bi-sqldw.md - name: Automated enterprise BI with Azure Data Factory href: reference-architectures/data/enterprise-bi-adf.md + - name: Enterprise BI with SQL Data Warehouse + href: reference-architectures/data/enterprise-bi-sqldw.md - name: Stream processing with Azure Databricks href: reference-architectures/data/stream-processing-databricks.md - name: Stream processing with Azure Stream Analytics href: reference-architectures/data/stream-processing-stream-analytics.md + - name: Example workloads + items: + - name: Advanced analytics + href: data-guide/scenarios/advanced-analytics.md + - name: Data lakes + href: data-guide/scenarios/data-lake.md + - name: Data transfer + href: data-guide/scenarios/data-transfer.md + - name: Data warehousing and analytics + href: example-scenario/data/data-warehouse.md + - name: Extending on-premises data solutions to the cloud + href: data-guide/scenarios/hybrid-on-premises-and-cloud.md + - name: Free-form text search + href: data-guide/scenarios/search.md + - name: Hybrid ETL with Data Factory + href: example-scenario/data/hybrid-etl-with-adf.md + - name: Interactive data exploration + href: data-guide/scenarios/interactive-data-exploration.md + - name: IoT for construction + href: example-scenario/data/big-data-with-iot.md + - name: Natural language processing + href: data-guide/scenarios/natural-language-processing.md + - name: Real-time fraud detection + href: example-scenario/data/fraud-detection.md + - name: Scalable order processing + href: example-scenario/data/ecommerce-order-processing.md + - name: Securing data solutions + href: data-guide/scenarios/securing-data-solutions.md + - name: Time series solutions + href: data-guide/scenarios/time-series.md + - name: Working with CSV and JSON files + href: data-guide/scenarios/csv-and-json.md + + - name: DevOps + items: + - name: Checklist + href: checklist/dev-ops.md + - name: Guides + items: + - name: Extending Resource Manager Templates + items: + - name: Overview + href: building-blocks/extending-templates/index.md + - name: Update a resource + href: building-blocks/extending-templates/update-resource.md + - name: Conditionally deploy a resource + href: building-blocks/extending-templates/conditional-deploy.md + - name: Use an object as a parameter + href: building-blocks/extending-templates/objects-as-parameters.md + - name: Property transformer and collector + href: building-blocks/extending-templates/collector.md + - name: Example workloads + items: + - name: DevOps with Azure DevOps + href: example-scenario/apps/devops-dotnet-webapp.md + - name: DevOps with containers + href: example-scenario/apps/devops-with-aks.md + - name: Jenkins server + href: example-scenario/apps/jenkins.md - - name: Enterprise integration + - name: Enterprise integration + items: + - name: Reference architectures items: - name: Basic enterprise integration href: reference-architectures/enterprise-integration/basic-enterprise-integration.md - name: Enterprise integration with queues and events href: reference-architectures/enterprise-integration/queues-events.md - - name: Hybrid networks + - name: High performance computing (HPC) + items: + - name: Overview + href: topics/high-performance-computing.md + - name: Example workloads items: - - name: Choose a hybrid network architecture - href: reference-architectures/hybrid-networking/index.md - - name: VPN - href: reference-architectures/hybrid-networking/vpn.md - - name: ExpressRoute - href: reference-architectures/hybrid-networking/expressroute.md - - name: ExpressRoute with VPN failover - href: reference-architectures/hybrid-networking/expressroute-vpn-failover.md - - name: Hub-spoke topology - href: reference-architectures/hybrid-networking/hub-spoke.md - - name: Hub-spoke topology with shared services - href: reference-architectures/hybrid-networking/shared-services.md - - name: Troubleshoot a hybrid VPN connection - href: reference-architectures/hybrid-networking/troubleshoot-vpn.md + - name: Computational fluid dynamics (CFD) + href: example-scenario/infrastructure/hpc-cfd.md + - name: Computer-aided engineering + href: example-scenario/apps/hpc-saas.md + - name: HPC video rendering + href: example-scenario/infrastructure/video-rendering.md + - name: Image Modeling + href: example-scenario/infrastructure/image-modeling.md + - name: Linux virtual desktops + href: example-scenario/infrastructure/linux-vdi-citrix.md - - name: Identity management + - name: Identity + items: + - name: Guides + items: + - name: Identity in multitenant applications + items: + - name: Introduction + href: multitenant-identity/index.md + - name: The Tailspin scenario + href: multitenant-identity/tailspin.md + - name: Authentication + href: multitenant-identity/authenticate.md + - name: Claims-based identity + href: multitenant-identity/claims.md + - name: Tenant sign-up + href: multitenant-identity/signup.md + - name: Application roles + href: multitenant-identity/app-roles.md + - name: Authorization + href: multitenant-identity/authorize.md + - name: Secure a web API + href: multitenant-identity/web-api.md + - name: Cache access tokens + href: multitenant-identity/token-cache.md + - name: Client assertion + href: multitenant-identity/client-assertion.md + - name: Federate with a customer's AD FS + href: multitenant-identity/adfs.md + - name: Reference architectures items: - name: Choose an Active Directory integration architecture href: reference-architectures/identity/index.md @@ -376,17 +518,92 @@ items: - name: Extend AD FS to Azure href: reference-architectures/identity/adfs.md - - name: Internet of Things (IoT) - href: reference-architectures/iot/index.md + - name: Internet of Things (IoT) + items: + - name: Reference architectures + items: + - name: Internet of Things (IoT) + href: reference-architectures/iot/index.md + - name: Example workloads + items: + - name: Automotive IoT data + href: example-scenario/data/realtime-analytics-vehicle-iot.md + - name: Telehealth System + href: example-scenario/apps/telehealth-system.md - - name: Microservices + - name: Microservices + items: + - name: Overview + href: microservices/index.md + - name: Introduction to microservices + href: microservices/introduction.md + - name: Guides + items: + - name: Modeling microservices + items: + - name: Domain analysis + href: microservices/model/domain-analysis.md + - name: Tactical DDD + href: microservices/model/tactical-ddd.md + - name: Identify microservice boundaries + href: microservices/model/microservice-boundaries.md + - name: Design a microservices architecture + items: + - name: Introduction + href: microservices/design/index.md + - name: Choose a compute option + href: microservices/design/compute-options.md + - name: Interservice communication + href: microservices/design/interservice-communication.md + - name: API design + href: microservices/design/api-design.md + - name: API gateways + href: microservices/design/gateway.md + - name: Data considerations + href: microservices/design/data-considerations.md + - name: Design patterns for microservices + href: microservices/design/patterns.md + - name: Operate microservices in production + items: + - name: Monitor microservices in Azure Kubernetes Service (AKS) + href: microservices/logging-monitoring.md + - name: CI/CD for microservices + href: microservices/ci-cd.md + - name: CI/CD for microservices on Kubernetes + href: microservices/ci-cd-kubernetes.md + - name: Modernize enterprise applications with Azure Service Fabric + href: service-fabric/modernize-app-azure-service-fabric.md + - name: Migrate from Cloud Services to Service Fabric + href: service-fabric/migrate-from-cloud-services.md + - name: Reference architectures items: - name: Azure Kubernetes Service (AKS) href: reference-architectures/microservices/aks.md - name: Azure Service Fabric href: reference-architectures/microservices/service-fabric.md + - name: Example workloads + items: + - name: Decomposing a monolithic application + href: example-scenario/infrastructure/service-fabric-microservices.md - + - name: Networking + items: + - name: Hybrid networking + items: + - name: Choose a hybrid network architecture + href: reference-architectures/hybrid-networking/index.md + - name: VPN + href: reference-architectures/hybrid-networking/vpn.md + - name: ExpressRoute + href: reference-architectures/hybrid-networking/expressroute.md + - name: ExpressRoute with VPN failover + href: reference-architectures/hybrid-networking/expressroute-vpn-failover.md + - name: Troubleshoot a hybrid VPN connection + href: reference-architectures/hybrid-networking/troubleshoot-vpn.md + - name: Hub-spoke topology + href: reference-architectures/hybrid-networking/hub-spoke.md + - name: Hub-spoke topology with shared services + href: reference-architectures/hybrid-networking/shared-services.md - name: Network DMZ items: - name: DMZ between Azure and on-premises @@ -396,42 +613,55 @@ items: - name: Highly available network virtual appliances href: reference-architectures/dmz/nva-ha.md - - name: SAP - items: - - name: SAP NetWeaver for AnyDB - href: reference-architectures/sap/sap-netweaver.md - - name: SAP S/4HANA - href: reference-architectures/sap/sap-s4hana.md - - name: SAP HANA on Azure Large Instances - href: reference-architectures/sap/hana-large-instances.md - - - name: Serverless + - name: Serverless applications + items: + - name: Overview + href: serverless/index.md + - name: Reference architectures items: - - name: Overview - href: serverless/overview.md - - name: Walk through a serverless solution - href: serverless/index.md - - name: Serverless event processing guidelines + - name: Serverless event processing href: reference-architectures/serverless/event-processing.md - - name: Serverless web application guidelines + - name: Serverless web application href: reference-architectures/serverless/web-app.md - - name: VM workloads - items: - - name: Single Linux VM + - name: VM workloads + items: + - name: Reference architectures + items: + - name: Linux VM deployment href: reference-architectures/n-tier/linux-vm.md - - name: Single Windows VM + - name: Windows VM deployment href: reference-architectures/n-tier/windows-vm.md - - name: N-tier application with SQL Server + - name: N-tier application with Cassandra (Linux) + href: reference-architectures/n-tier/n-tier-cassandra.md + - name: N-tier application with SQL Server (Windows) href: reference-architectures/n-tier/n-tier-sql-server.md - name: Multi-region N-tier application href: reference-architectures/n-tier/multi-region-sql-server.md - - name: N-tier application with Cassandra - href: reference-architectures/n-tier/n-tier-cassandra.md + - name: Example workloads + items: + - name: Highly scalable WordPress + href: example-scenario/infrastructure/wordpress.md + - name: Multi-tier Windows + href: example-scenario/infrastructure/regulated-multitier-app.md + - name: SAP + items: + - name: SAP HANA on Azure Large Instances + href: reference-architectures/sap/hana-large-instances.md + - name: SAP NetWeaver for AnyDB + href: reference-architectures/sap/sap-netweaver.md + - name: SAP S/4HANA + href: reference-architectures/sap/sap-s4hana.md + - name: SAP for dev/test + href: example-scenario/apps/sap-dev-test.md + - name: SAP for production + href: example-scenario/apps/sap-production.md - name: SharePoint Server 2016 href: reference-architectures/sharepoint/index.md - - name: Web applications + - name: Web apps + items: + - name: Reference architectures items: - name: Basic web application href: reference-architectures/app-service-web-app/basic-web-app.md @@ -441,239 +671,21 @@ items: href: reference-architectures/app-service-web-app/multi-region.md - name: Web application monitoring href: reference-architectures/app-service-web-app/app-monitoring.md + - name: Example workloads + items: + - name: E-commerce API management + href: example-scenario/apps/apim-api-scenario.md + - name: E-commerce front-end + href: example-scenario/apps/ecommerce-scenario.md + - name: E-commerce product search + href: example-scenario/apps/ecommerce-search.md + - name: Publishing internal APIs externally + href: example-scenario/apps/publish-internal-apis-externally.md + - name: Securely managed web application + href: example-scenario/apps/fully-managed-secure-apps.md + - name: Highly available web application + href: example-scenario/infrastructure/multi-tier-app-disaster-recovery.md -- name: Build microservices on Azure - items: - - name: Overview - href: microservices/index.md - - name: Introduction to microservices - href: microservices/introduction.md - - name: Model microservices - items: - - name: Domain analysis - href: microservices/model/domain-analysis.md - - name: Tactical DDD - href: microservices/model/tactical-ddd.md - - name: Identify microservice boundaries - href: microservices/model/microservice-boundaries.md - - name: Design a microservices architecture - items: - - name: Introduction - href: microservices/design/index.md - - name: Choose a compute option - href: microservices/design/compute-options.md - - name: Interservice communication - href: microservices/design/interservice-communication.md - - name: API design - href: microservices/design/api-design.md - - name: API gateways - href: microservices/design/gateway.md - - name: Data considerations - href: microservices/design/data-considerations.md - - name: Design patterns for microservices - href: microservices/design/patterns.md - - name: Operate microservices in production - items: - - name: Monitor microservices in Azure Kubernetes Service (AKS) - href: microservices/logging-monitoring.md - - name: CI/CD for microservices - href: microservices/ci-cd.md - - name: CI/CD for microservices on Kubernetes - href: microservices/ci-cd-kubernetes.md - -- name: Data architectures for Azure - items: - - name: Overview - href: data-guide/index.md - - name: Online transaction processing (OLTP) - href: data-guide/relational-data/online-transaction-processing.md - - name: Online analytical processing (OLAP) - href: data-guide/relational-data/online-analytical-processing.md - - name: Data warehousing - items: - - name: Overview - href: data-guide/relational-data/data-warehousing.md - - name: Extract, transform, and load (ETL) - href: data-guide/relational-data/etl.md - - name: Big data architectures - items: - - name: Overview - href: data-guide/big-data/index.md - - name: Batch processing - href: data-guide/big-data/batch-processing.md - - name: Real time processing - href: data-guide/big-data/real-time-processing.md - - name: Machine learning at scale - href: data-guide/big-data/machine-learning-at-scale.md - - name: Non-relational data stores - href: data-guide/big-data/non-relational-data.md - - name: Scenarios - items: - - name: Advanced analytics - href: data-guide/scenarios/advanced-analytics.md - - name: Data lakes - href: data-guide/scenarios/data-lake.md - - name: Free-form text search - href: data-guide/scenarios/search.md - - name: Interactive data exploration - href: data-guide/scenarios/interactive-data-exploration.md - - name: Natural language processing - href: data-guide/scenarios/natural-language-processing.md - - name: Time series solutions - href: data-guide/scenarios/time-series.md - - name: Working with CSV and JSON files - href: data-guide/scenarios/csv-and-json.md - - name: Technology choices - items: - - name: Analytical data stores - href: data-guide/technology-choices/analytical-data-stores.md - - name: Analytics and reporting - href: data-guide/technology-choices/analysis-visualizations-reporting.md - - name: Batch processing - href: data-guide/technology-choices/batch-processing.md - - name: Cognitive services - href: data-guide/technology-choices/cognitive-services.md - - name: Data storage - href: data-guide/technology-choices/data-storage.md - - name: Machine learning - href: data-guide/technology-choices/data-science-and-machine-learning.md - - name: Natural language processing - href: data-guide/technology-choices/natural-language-processing.md - - name: Pipeline orchestration - href: data-guide/technology-choices/pipeline-orchestration-data-movement.md - - name: R developer's guide to Azure - href: data-guide/technology-choices/r-developers-guide.md - - name: Real-time message ingestion - href: data-guide/technology-choices/real-time-ingestion.md - - name: Search data stores - href: data-guide/technology-choices/search-options.md - - name: Stream processing - href: data-guide/technology-choices/stream-processing.md - - - name: Monitoring Azure Databricks - items: - - name: Overview - href: databricks-monitoring/index.md - - name: Send Databricks application logs to Azure Monitor - href: databricks-monitoring/application-logs.md - - name: Use dashboards to visualize Databricks metrics - href: databricks-monitoring/dashboards.md - - name: Troubleshoot performance bottlenecks - href: databricks-monitoring/performance-troubleshooting.md - - - name: Cross-cutting concerns - items: - - name: Data transfer - href: data-guide/scenarios/data-transfer.md - - name: Extending on-premises data solutions to the cloud - href: data-guide/scenarios/hybrid-on-premises-and-cloud.md - - name: Securing data solutions - href: data-guide/scenarios/securing-data-solutions.md - -- name: Design guides - items: - - name: Extend Azure Resource Manager templates - items: - - name: Introduction - href: building-blocks/extending-templates/index.md - - name: Update a resource - href: building-blocks/extending-templates/update-resource.md - - name: Conditionally deploy a resource - href: building-blocks/extending-templates/conditional-deploy.md - - name: Use an object as a parameter - href: building-blocks/extending-templates/objects-as-parameters.md - - name: Property transformer and collector - href: building-blocks/extending-templates/collector.md - - name: Manage multitenant identity - items: - - name: Introduction - href: multitenant-identity/index.md - - name: The Tailspin scenario - href: multitenant-identity/tailspin.md - - name: Authentication - href: multitenant-identity/authenticate.md - - name: Claims-based identity - href: multitenant-identity/claims.md - - name: Tenant sign-up - href: multitenant-identity/signup.md - - name: Application roles - href: multitenant-identity/app-roles.md - - name: Authorization - href: multitenant-identity/authorize.md - - name: Secure a web API - href: multitenant-identity/web-api.md - - name: Cache access tokens - href: multitenant-identity/token-cache.md - - name: Client assertion - href: multitenant-identity/client-assertion.md - - name: Protect application secrets - href: multitenant-identity/key-vault.md - - name: Federate with a customer's AD FS - href: multitenant-identity/adfs.md - - name: Run the Surveys application - href: multitenant-identity/run-the-app.md - - name: Modernize enterprise applications with Azure Service Fabric - href: service-fabric/modernize-app-azure-service-fabric.md - - name: Migrate from Cloud Services to Service Fabric - href: service-fabric/migrate-from-cloud-services.md - -- name: Design Review Framework - items: - - name: Design reliable Azure applications - items: - - name: Overview - href: reliability/index.md - - name: Define requirements - href: reliability/requirements.md - - name: Architect for reliability - href: reliability/architect.md - - name: Test for reliability - href: reliability/testing.md - - name: Deploy for reliability - href: reliability/deploy.md - - name: Monitor application health - href: reliability/monitoring.md - - name: Respond to failures and disasters - href: reliability/disaster-recovery.md - - name: Resiliency checklist for Azure services - href: checklist/resiliency-per-service.md - - name: Failure mode analysis - href: resiliency/failure-mode-analysis.md - - name: Recover from a region-wide service disruption - href: resiliency/recovery-loss-azure-region.md - - name: Recover from data corruption or accidental deletion - href: resiliency/recovery-data-corruption.md - - name: Secure your Azure applications - items: - - name: Role of security - href: security/overview.md - - name: Security design principles - href: security/security-principles.md - - name: Types of attacks to resist - href: security/architecture-type.md - - name: Regulatory compliance - href: security/law-authority.md - - name: Reduce organizational risk - href: security/resilience.md - - name: Governance, risk, and compliance - href: security/governance.md - - name: Identity and access management - href: security/identity.md - - name: Network security and containment - href: security/network-security-containment.md - - name: Storage, data, and encryption - href: security/storage-data-encryption.md - - name: Applications and services - href: security/applications-services.md - - name: Administration - href: security/critical-impact-accounts.md - - name: Security operations - href: security/security-operations.md - - - name: DevOps checklist - href: checklist/dev-ops.md - - name: Scalability checklist - href: checklist/scalability.md - name: Cloud Adoption Framework items: - name: Introduction From 32626fef10d088f58bc2527bc322c24a1be017ce Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Sun, 11 Aug 2019 00:36:25 -0700 Subject: [PATCH 11/19] Fixing toc.yml --- docs/toc.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/docs/toc.yml b/docs/toc.yml index f432d0beb0d..0d53d638b76 100644 --- a/docs/toc.yml +++ b/docs/toc.yml @@ -54,6 +54,12 @@ items: href: guide/technology-choices/compute-decision-tree.md - name: Compute comparison href: guide/technology-choices/compute-comparison.md + - name: Choosing a load balancing service + items: + - name: Overview + href: guide/technology-choices/load-balancing-overview.md + - name: Decision tree + href: guide/technology-choices/load-balancing-decision-tree.md - name: Best Practices items: - name: API design From b7e6fdf0d9d64812760724a27c246e752e734369 Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Sun, 11 Aug 2019 00:37:16 -0700 Subject: [PATCH 12/19] Fixing toc.yml --- docs/toc.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/toc.yml b/docs/toc.yml index 0d53d638b76..c2ff4c2e111 100644 --- a/docs/toc.yml +++ b/docs/toc.yml @@ -1418,4 +1418,4 @@ items: - name: Virtual Datacenter (VDC) href: vdc/index.md - name: How does Azure work? - href: cloud-adoption/getting-started/what-is-azure.md \ No newline at end of file + href: cloud-adoption/getting-started/what-is-azure.md From 44fbf7a3eb064f423efd6849e40e7ee15e67f8f4 Mon Sep 17 00:00:00 2001 From: Theano Petersen Date: Mon, 12 Aug 2019 10:36:59 -0700 Subject: [PATCH 13/19] Fix --- docs/multitenant-identity/web-api.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/multitenant-identity/web-api.md b/docs/multitenant-identity/web-api.md index 121bfa78671..5d1c15eb987 100644 --- a/docs/multitenant-identity/web-api.md +++ b/docs/multitenant-identity/web-api.md @@ -302,7 +302,7 @@ At startup, the application reads settings from every registered configuration p [Authorization]: authorize.md -[ADAL]: /previous-versions/azure/jj573266 +[ADAL]: /azure/active-directory/develop/active-directory-authentication-libraries [claims-transformation]: claims.md#claims-transformations [IdentityServer4]: https://github.com/IdentityServer/IdentityServer4 [JwtBearer]: https://www.nuget.org/packages/Microsoft.AspNet.Authentication.JwtBearer From 03487a88c03f63bf248cb6bab39a8d14b190901a Mon Sep 17 00:00:00 2001 From: Theano Petersen Date: Mon, 12 Aug 2019 10:42:31 -0700 Subject: [PATCH 14/19] fix --- .../operations/azure-server-management/prerequisites.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/cloud-adoption/operations/azure-server-management/prerequisites.md b/docs/cloud-adoption/operations/azure-server-management/prerequisites.md index c4b470b7d8a..e5b83fe2169 100644 --- a/docs/cloud-adoption/operations/azure-server-management/prerequisites.md +++ b/docs/cloud-adoption/operations/azure-server-management/prerequisites.md @@ -37,7 +37,7 @@ The following Azure server management services require a linked Log Analytics wo The second phase of this guidance focuses on deploying services and automation scripts. It shows you how to create a Log Analytics workspace and an Automation account. This guidance also shows you how to use Azure Policy to ensure that new VMs are connected to the correct workspace. -The examples covered in this guidance assume a deployment that does not already have servers deployed to the cloud. To learn more about the principles and considerations involved in planning your workspaces, see [Manage log data and workspaces in Azure Monitor](/azure/azure-monitor/platform/manage-access#determine-the-number-of-workspaces-you-need). +The examples covered in this guidance assume a deployment that does not already have servers deployed to the cloud. To learn more about the principles and considerations involved in planning your workspaces, see [Manage log data and workspaces in Azure Monitor](/azure/azure-monitor/platform/manage-access). ## Planning considerations @@ -45,7 +45,7 @@ When preparing the workspaces and accounts that you create for onboarding manage - **Azure geographies and regulatory compliance**. Azure regions are organized into *geographies*. An [Azure geography](https://azure.microsoft.com/global-infrastructure/geographies/) ensures that data residency, sovereignty, compliance, and resiliency requirements are honored within geographical boundaries. If your workloads are subject to data sovereignty or other compliance requirements, workspace and Automation accounts must be deployed to regions within the same Azure geography as the workload resources they support. - **Number of workspaces**. As a guiding principle, create the minimum number of workspaces required per Azure geography. We recommend at least one workspace for each Azure geography where your compute or storage resources are located. This initial alignment helps avoid future regulatory issues when migrating data to different geographies. -- **Data retention and capping**. You may also need to take Data retention policies or data capping requirements into consideration when creating workspaces or Automation accounts. For more information about these principles and additional considerations when planning your workspaces, see [Manage log data and workspaces in Azure Monitor](/azure/azure-monitor/platform/manage-access#determine-the-number-of-workspaces-you-need). +- **Data retention and capping**. You may also need to take Data retention policies or data capping requirements into consideration when creating workspaces or Automation accounts. For more information about these principles and additional considerations when planning your workspaces, see [Manage log data and workspaces in Azure Monitor](/azure/azure-monitor/platform/manage-access). - **Region mapping**. Linking a Log Analytics workspace and an Azure Automation account is only supported between certain Azure regions. For example, if the Log Analytics workspace is hosted in the *EastUS* region, the linked Automation account must be created in the *EastUS2* region in order to be used with management services. If you have an Automation account that was created in another region, it will not be able to link to a workspace in *EastUS*. Choice of deployment region can significantly affect Azure geography requirements. Consult the [region mapping table](/azure/automation/how-to/region-mappings) to decide which region should host your workspaces and Automation accounts. - **Workspace multihoming**. Log Analytics Agent supports multihoming in some scenarios, but the agent faces several limitations and issues when running in this configuration. Unless Microsoft has recommended using multihoming for your scenario, we don’t recommend configuring multihoming on the Log Analytics agent. From 0e38fdfd67a01d797f177528dd1d49815d217327 Mon Sep 17 00:00:00 2001 From: Alex Buck Date: Mon, 12 Aug 2019 15:54:22 -0400 Subject: [PATCH 15/19] CAF fixes --- .../governance/governance-disciplines.md | 48 +++++++++---------- 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/docs/cloud-adoption/governance/governance-disciplines.md b/docs/cloud-adoption/governance/governance-disciplines.md index 79c357ebe9c..a1e0224ed6f 100644 --- a/docs/cloud-adoption/governance/governance-disciplines.md +++ b/docs/cloud-adoption/governance/governance-disciplines.md @@ -1,7 +1,7 @@ --- title: "The Five Disciplines of Cloud Governance" titleSuffix: Microsoft Cloud Adoption Framework for Azure -description: Overview of governance content within the Cloud Adoption Framework +description: Learn about the Five Disciplines of Cloud Governance in the Cloud Adoption Framework. author: BrianBlanchard ms.author: brblanch ms.date: 02/11/2019 @@ -17,39 +17,39 @@ layout: LandingPage ## Disciplines of Cloud Governance -Across each cloud provider, there are common governance disciplines that can serve as a guide to help inform policies and align toolchains. These disciplines guide decisions regarding the proper level of automation and enforcement of corporate policy across cloud providers. +With any cloud platform, there are common governance disciplines that help inform policies and align toolchains. These disciplines guide decisions about the proper level of automation and enforcement of corporate policy across cloud platforms. @@ -85,7 +85,7 @@ Across each cloud provider, there are common governance disciplines that can ser

Security Baseline

-

Security is a complex and personal topic, unique to each company. Once security requirements are established, cloud governance policies and enforcement applies those requirements across network, data and asset configurations.

+

Security is a complex topic, unique to each company. Once security requirements are established, cloud governance policies and enforcement apply those requirements across network, data, and asset configurations.

@@ -104,7 +104,7 @@ Across each cloud provider, there are common governance disciplines that can ser

Identity Baseline

-

Inconsistencies in the application of identity requirements can increase the risk of breach. The Identity Baseline discipline focuses on ways to ensure identity is consistently applied across cloud adoption efforts.

+

Inconsistencies in the application of identity requirements can increase the risk of breach. The Identity Baseline discipline focuses ensuring that identity is consistently applied across cloud adoption efforts.

@@ -123,7 +123,7 @@ Across each cloud provider, there are common governance disciplines that can ser

Resource Consistency

-

Cloud operations depends on consistency in resource configuration. Through governance tooling, resources can consistently be configured to manage risks related to on-boarding, drift, discoverability, and recovery.

+

Cloud operations depend on consistent resource configuration. Through governance tooling, resources can be configured consistently to manage risks related to onboarding, drift, discoverability, and recovery.

@@ -142,7 +142,7 @@ Across each cloud provider, there are common governance disciplines that can ser

Deployment Acceleration

-

Centralization, standardization, and consistency in deployment and configuration approaches improve governance practices. When made available through cloud-based governance tooling, they create a cloud factor that can accelerate deployment activities.

+

Centralization, standardization, and consistency in approaches to deployment and configuration improve governance practices. When provided through cloud-based governance tooling, they create a cloud factor that can accelerate deployment activities.

From 3afd78596dcd82b9da8ee1fb30735f2a2a6a3bb6 Mon Sep 17 00:00:00 2001 From: Alex Buck Date: Mon, 12 Aug 2019 15:57:53 -0400 Subject: [PATCH 16/19] CAF fixes --- docs/cloud-adoption/governance/governance-disciplines.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/cloud-adoption/governance/governance-disciplines.md b/docs/cloud-adoption/governance/governance-disciplines.md index a1e0224ed6f..6d2eb1c203b 100644 --- a/docs/cloud-adoption/governance/governance-disciplines.md +++ b/docs/cloud-adoption/governance/governance-disciplines.md @@ -22,7 +22,7 @@ layout: LandingPage
- Any change to business processes or technology platforms introduces risk. Cloud governance teams, whose members are sometimes known as cloud custodians, are tasked with mitigating these risks and ensuring minimal interruption to adoption or innovation efforts.

The Cloud Adoption Framework governance model guides these decisions (regardless of the chosen cloud platform) by focusing on development of corporate policy] and the Five Disciplines of Cloud Governance. Actionable design guides demonstrate this model using Azure services. Learn about the disciplines of the Cloud Adoption Framework governance model below. + Any change to business processes or technology platforms introduces risk. Cloud governance teams, whose members are sometimes known as cloud custodians, are tasked with mitigating these risks and ensuring minimal interruption to adoption or innovation efforts.

The Cloud Adoption Framework governance model guides these decisions (regardless of the chosen cloud platform) by focusing on development of corporate policy] and the Five Disciplines of Cloud Governance. Actionable design guides demonstrate this model using Azure services. Learn about the disciplines of the Cloud Adoption Framework governance model below.
From 75f3923f41280305d51436e08dba3542cc3c2d9f Mon Sep 17 00:00:00 2001 From: Alex Buck Date: Mon, 12 Aug 2019 17:05:57 -0400 Subject: [PATCH 17/19] Fixe CAF formatting issues --- docs/best-practices/data-partitioning.md | 6 +++--- docs/best-practices/monitoring.md | 12 ++++++------ ...how-to-use-the-business-outcome-template.md | 6 +++--- .../governance/corporate-policy.md | 2 +- .../cost-management/discipline-improvement.md | 2 +- .../discipline-improvement.md | 2 +- .../discipline-improvement.md | 2 +- .../policy-compliance/define-policy.md | 2 +- .../governance/policy-compliance/index.md | 2 +- .../azure-resource-access.md | 18 +++++++++--------- .../discipline-improvement.md | 2 +- .../governance-multiple-teams.md | 14 +++++++------- .../governance-simple-workload.md | 18 +++++++++--------- .../discipline-improvement.md | 2 +- .../infrastructure/misc/hybrid-consistency.md | 2 +- .../azure-migration-guide/manage-costs.md | 2 +- .../cost-conscious-organization.md | 2 +- docs/cloud-adoption/plan/suggested-skills.md | 2 +- 18 files changed, 49 insertions(+), 49 deletions(-) diff --git a/docs/best-practices/data-partitioning.md b/docs/best-practices/data-partitioning.md index f063949dd0f..ad68533d518 100644 --- a/docs/best-practices/data-partitioning.md +++ b/docs/best-practices/data-partitioning.md @@ -55,7 +55,7 @@ Figure 1 shows horizontal partitioning or sharding. In this example, product inv ![Horizontally partitioning (sharding) data based on a partition key](./images/data-partitioning/DataPartitioning01.png) -*Figure 1. Horizontally partitioning (sharding) data based on a partition key.* +*Figure 1 - Horizontally partitioning (sharding) data based on a partition key.* The most important factor is the choice of a sharding key. It can be difficult to change the key after the system is in operation. The key must ensure that data is partitioned to spread the workload as evenly as possible across the shards. @@ -75,7 +75,7 @@ The most common use for vertical partitioning is to reduce the I/O and performan ![Vertically partitioning data by its pattern of use](./images/data-partitioning/DataPartitioning02.png) -*Figure 2. Vertically partitioning data by its pattern of use.* +*Figure 2 - Vertically partitioning data by its pattern of use.* In this example, the application regularly queries the product name, description, and price when displaying the product details to customers. Stock count and last- ordered date are held in a separate partition because these two items are commonly used together. @@ -95,7 +95,7 @@ When it's possible to identify a bounded context for each distinct business area ![Functionally partitioning data by bounded context or subdomain](./images/data-partitioning/DataPartitioning03.png) -*Figure 3. Functionally partitioning data by bounded context or subdomain.* +*Figure 3 - Functionally partitioning data by bounded context or subdomain.* This partitioning strategy can help reduce data access contention across different parts of a system. diff --git a/docs/best-practices/monitoring.md b/docs/best-practices/monitoring.md index 378db56c4ad..d99401cca91 100644 --- a/docs/best-practices/monitoring.md +++ b/docs/best-practices/monitoring.md @@ -385,7 +385,7 @@ You can envisage the entire monitoring and diagnostics process as a pipeline tha ![Stages in the monitoring and diagnostics pipeline](./images/monitoring/Pipeline.png) -*Figure 1. The stages in the monitoring and diagnostics pipeline.* +*Figure 1 - The stages in the monitoring and diagnostics pipeline.* Figure 1 highlights how the data for monitoring and diagnostics can come from a variety of data sources. The instrumentation and collection stages are concerned with identifying the sources from where the data needs to be captured, determining which data to capture, how to capture it, and how to format this data so that it can be easily examined. The analysis/diagnosis stage takes the raw data and uses it to generate meaningful information that an operator can use to determine the state of the system. The operator can use this information to make decisions about possible actions to take, and then feed the results back into the instrumentation and collection stages. The visualization/alerting stage phase presents a consumable view of the system state. It can display information in near real time by using a series of dashboards. And it can generate reports, graphs, and charts to provide a historical view of the data that can help identify long-term trends. If information indicates that a KPI is likely to exceed acceptable bounds, this stage can also trigger an alert to an operator. In some cases, an alert can also be used to trigger an automated process that attempts to take corrective actions, such as autoscaling. @@ -522,7 +522,7 @@ Data collection is often performed through a collection service that can run aut ![Example of collecting instrumentation data](./images/monitoring/TelemetryService.png) -*Figure 2. Collecting instrumentation data.* +*Figure 2 - Collecting instrumentation data.* Note that this is a simplified view. The collection service is not necessarily a single process and might comprise many constituent parts running on different machines, as described in the following sections. Additionally, if the analysis of some telemetry data must be performed quickly (hot analysis, as described in the section [Supporting hot, warm, and cold analysis](#supporting-hot-warm-and-cold-analysis) later in this document), local components that operate outside the collection service might perform the analysis tasks immediately. Figure 2 depicts this situation for selected events. After analytical processing, the results can be sent directly to the visualization and alerting subsystem. Data that's subjected to warm or cold analysis is held in storage while it awaits processing. @@ -554,7 +554,7 @@ One approach to implementing the pull model is to use monitoring agents that run ![Illustration of using a monitoring agent to pull information and write to shared storage](./images/monitoring/PullModel.png) -*Figure 3. Using a monitoring agent to pull information and write to shared storage.* +*Figure 3 - Using a monitoring agent to pull information and write to shared storage.* > [!NOTE] > Using a monitoring agent is ideally suited to capturing instrumentation data that's naturally pulled from a data source. An example is information from SQL Server Dynamic Management Views or the length of an Azure Service Bus queue. @@ -565,7 +565,7 @@ To address these issues, you can implement queuing, as shown in Figure 4. In thi ![Illustration of using a queue to buffer instrumentation data](./images/monitoring/BufferedQueue.png) -*Figure 4. Using a queue to buffer instrumentation data.* +*Figure 4 - Using a queue to buffer instrumentation data.* The local data-collection service can add data to a queue immediately after it's received. The queue acts as a buffer, and the storage writing service can retrieve and write the data at its own pace. By default, a queue operates on a first-in, first-out basis. But you can prioritize messages to accelerate them through the queue if they contain data that must be handled more quickly. For more information, see the [Priority Queue pattern](../patterns/priority-queue.md). Alternatively, you can use different channels (such as Service Bus topics) to direct data to different destinations depending on the form of analytical processing that's required. @@ -577,7 +577,7 @@ The instrumentation data that the data-collection service retrieves from a singl ![Example of using a service to consolidate instrumentation data](./images/monitoring/Consolidation.png) -*Figure 5. Using a separate service to consolidate and clean up instrumentation data.* +*Figure 5 - Using a separate service to consolidate and clean up instrumentation data.* ### Storing instrumentation data @@ -594,7 +594,7 @@ You can implement an additional service that periodically retrieves the data fro ![Partitioning and storage of data](./images/monitoring/DataStorage.png) -*Figure 6. Partitioning data according to analytical and storage requirements.* +*Figure 6 - Partitioning data according to analytical and storage requirements.* The same instrumentation data might be required for more than one purpose. For example, performance counters can be used to provide a historical view of system performance over time. This information might be combined with other usage data to generate customer billing information. In these situations, the same data might be sent to more than one destination, such as a document database that can act as a long-term store for holding billing information, and a multidimensional store for handling complex performance analytics. diff --git a/docs/cloud-adoption/business-strategy/business-outcomes/how-to-use-the-business-outcome-template.md b/docs/cloud-adoption/business-strategy/business-outcomes/how-to-use-the-business-outcome-template.md index 89f4e34f5ff..5cf593effbe 100644 --- a/docs/cloud-adoption/business-strategy/business-outcomes/how-to-use-the-business-outcome-template.md +++ b/docs/cloud-adoption/business-strategy/business-outcomes/how-to-use-the-business-outcome-template.md @@ -28,7 +28,7 @@ Introduced by Kate Johnson at the Microsoft Digital Transformation Academy, busi ![Business outcomes visualized as a house with stakeholders, over business outcomes, over technical capabilities](../../_images/business-outcome-house.png) -*Figure 1: Business outcomes visualized as a house with stakeholders, over business outcomes, over technical capabilities.* +*Figure 1 - Business outcomes visualized as a house with stakeholders, over business outcomes, over technical capabilities.* The business outcome template focuses on simplified conversations that can quickly engage stakeholders without getting too deep into the technical solution. By rapidly understanding and aligning the key performance indicators (KPIs) and business drivers that are important to stakeholders, your team can think about high-level approaches and transformations before diving into the implementation details. @@ -36,7 +36,7 @@ An example can be found on the "Example Outcome" tab of the spreadsheet, as show ![Example of a business outcome template](../../_images/business-outcome-template.png) -*Figure 2: Example of a business outcome template.* +*Figure 2 - Example of a business outcome template.* ## Why is this template relevant? @@ -44,7 +44,7 @@ Discovery is a fundamental tenet of enterprise architecture. If discovery is lim ![Five areas of focus in discovery: stakeholders, outcomes, drivers, KPIs, and capabilities](../../_images/business-outcome-focus-areas.png) -*Figure 3: Five areas of focus in discovery: stakeholders, outcomes, drivers, KPIs, and capabilities.* +*Figure 3 - Five areas of focus in discovery: stakeholders, outcomes, drivers, KPIs, and capabilities.* **Stakeholders**: Who in the organization is likely to see the greatest value in a specific business outcome? Who is most likely to support this transformation, especially when things get tough or time consuming? Who has the greatest stake in the success of this transformation? This person is a potential stakeholder. diff --git a/docs/cloud-adoption/governance/corporate-policy.md b/docs/cloud-adoption/governance/corporate-policy.md index 8be49a32328..35934d8d58e 100644 --- a/docs/cloud-adoption/governance/corporate-policy.md +++ b/docs/cloud-adoption/governance/corporate-policy.md @@ -36,7 +36,7 @@ Any change to business processes or technology platforms introduces risk to the
Diagram of the Cloud Adoption Framework governance model: Corporate policy and governance disciplines
-Figure 1. Visual of corporate policy and the Five Disciplines of Cloud Governance +Figure 1 - Visual of corporate policy and the Five Disciplines of Cloud Governance.
diff --git a/docs/cloud-adoption/governance/cost-management/discipline-improvement.md b/docs/cloud-adoption/governance/cost-management/discipline-improvement.md index 2ef2b73da75..75886942d19 100644 --- a/docs/cloud-adoption/governance/cost-management/discipline-improvement.md +++ b/docs/cloud-adoption/governance/cost-management/discipline-improvement.md @@ -19,7 +19,7 @@ This article outlines potential tasks your company perform to develop and mature ![Four phases of adoption](../../_images/adoption-phases.png) -*Figure 1. Adoption phases of the incremental approach to cloud governance.* +*Figure 1 - Adoption phases of the incremental approach to cloud governance.* No single document can account for the requirements of all businesses. As such, this article outlines suggested minimum and potential example activities for each phase of the governance maturation process. The initial objective of these activities is to help you build a [Policy MVP](../journeys/index.md#an-incremental-approach-to-cloud-governance) and establish a framework for incremental policy evolution. Your Cloud Governance team will need to decide how much to invest in these activities to improve your Cost Management governance capabilities. diff --git a/docs/cloud-adoption/governance/deployment-acceleration/discipline-improvement.md b/docs/cloud-adoption/governance/deployment-acceleration/discipline-improvement.md index dec774eeaa9..8c5495fb8ec 100644 --- a/docs/cloud-adoption/governance/deployment-acceleration/discipline-improvement.md +++ b/docs/cloud-adoption/governance/deployment-acceleration/discipline-improvement.md @@ -19,7 +19,7 @@ This article outlines some potential tasks your company can engage in to better ![Four phases of adoption](../../_images/adoption-phases.png) -*Figure 1. Adoption phases of the incremental approach to cloud governance.* +*Figure 1 - Adoption phases of the incremental approach to cloud governance.* It's impossible for any one document to account for the requirements of all businesses. As such, this article outlines suggested minimum and potential example activities for each phase of the governance maturation process. The initial objective of these activities is to help you build a [Policy MVP](../journeys/index.md#an-incremental-approach-to-cloud-governance) and establish a framework for incremental policy evolution. Your Cloud Governance team will need to decide how much to invest in these activities to improve your Identity Baseline governance capabilities. diff --git a/docs/cloud-adoption/governance/identity-baseline/discipline-improvement.md b/docs/cloud-adoption/governance/identity-baseline/discipline-improvement.md index 20ee88f7dd4..1dd51d4443a 100644 --- a/docs/cloud-adoption/governance/identity-baseline/discipline-improvement.md +++ b/docs/cloud-adoption/governance/identity-baseline/discipline-improvement.md @@ -19,7 +19,7 @@ This article outlines some potential tasks your company can engage in to better ![Four phases of adoption](../../_images/adoption-phases.png) -*Figure 1. Adoption phases of the incremental approach to cloud governance.* +*Figure 1 - Adoption phases of the incremental approach to cloud governance.* It's impossible for any one document to account for the requirements of all businesses. As such, this article outlines suggested minimum and potential example activities for each phase of the governance maturation process. The initial objective of these activities is to help you build a [Policy MVP](../journeys/index.md#an-incremental-approach-to-cloud-governance) and establish a framework for incremental policy evolution. Your Cloud Governance team will need to decide how much to invest in these activities to improve your Identity Baseline governance capabilities. diff --git a/docs/cloud-adoption/governance/policy-compliance/define-policy.md b/docs/cloud-adoption/governance/policy-compliance/define-policy.md index 60a6b8db39f..e4634c55836 100644 --- a/docs/cloud-adoption/governance/policy-compliance/define-policy.md +++ b/docs/cloud-adoption/governance/policy-compliance/define-policy.md @@ -22,7 +22,7 @@ In traditional governance and incremental governance, corporate policy creates t ![Corporate Governance and Governance Disciplines](../../_images/operational-transformation-govern-highres.png) -*Figure 1. Corporate governance and governance disciplines.* +*Figure 1 - Corporate governance and governance disciplines.* The image above illustrates the relationship between business risk, policy and compliance, and monitoring and enforcement mechanisms that will need to interact as part of your governance strategy. The Five Disciplines of Cloud Governance allow you to manage these interactions and realize your strategy. diff --git a/docs/cloud-adoption/governance/policy-compliance/index.md b/docs/cloud-adoption/governance/policy-compliance/index.md index 36a6a22d002..beadb643bf6 100644 --- a/docs/cloud-adoption/governance/policy-compliance/index.md +++ b/docs/cloud-adoption/governance/policy-compliance/index.md @@ -29,7 +29,7 @@ In traditional governance and incremental governance, corporate policy creates t ![Corporate governance and governance disciplines](../../_images/operational-transformation-govern-highres.png) -*Figure 1. Corporate governance and governance disciplines.* +*Figure 1 - Corporate governance and governance disciplines.* The image above demonstrates the interactions between business risk, policy and compliance, and monitor and enforce to create a governance strategy. Followed by the Five Disciplines of Cloud Governance to realize your strategy. diff --git a/docs/cloud-adoption/governance/resource-consistency/azure-resource-access.md b/docs/cloud-adoption/governance/resource-consistency/azure-resource-access.md index 511c6d44fea..cbc71842e4c 100644 --- a/docs/cloud-adoption/governance/resource-consistency/azure-resource-access.md +++ b/docs/cloud-adoption/governance/resource-consistency/azure-resource-access.md @@ -24,14 +24,14 @@ Begin by taking a closer look at how resources are deployed in Azure. In Azure, the term _resource_ refers to an entity managed by Azure. For example, virtual machines, virtual networks, and storage accounts are all referred to as Azure resources. ![Diagram of a resource](../../_images/governance-1-9.png) -*Figure 1. A resource.* +*Figure 1 - A resource.* ## What is an Azure resource group? Each resource in Azure must belong to a [resource group](/azure/azure-resource-manager/resource-group-overview#resource-groups). A resource group is simply a logical construct that groups multiple resources together so they can be managed as a single entity. For example, resources that share a similar lifecycle, such as the resources for an [n-tier application](/azure/architecture/guide/architecture-styles/n-tier) may be created or deleted as a group. ![Diagram of a resource group containing a resource](../../_images/governance-1-10.png) -*Figure 2. A resource group contains a resource.* +*Figure 2 - A resource group contains a resource.* Resource groups and the resources they contain are associated with an Azure **subscription**. @@ -40,29 +40,29 @@ Resource groups and the resources they contain are associated with an Azure **su An Azure subscription is similar to a resource group in that it's a logical construct that groups together resource groups and their resources. However, an Azure subscription is also associated with the controls used by Azure Resource Manager. What does this mean? Take a closer look at Azure Resource Manager to learn about the relationship between it and an Azure subscription. ![Diagram of an Azure subscription](../../_images/governance-1-11.png) -*Figure 3. An Azure subscription.* +*Figure 3 - An Azure subscription.* ## What is Azure Resource Manager? In [how does Azure work?](../../getting-started/what-is-azure.md) you learned that Azure includes a "front end" with many services that orchestrate all the functions of Azure. One of these services is [Azure Resource Manager](/azure/azure-resource-manager), and this service hosts the RESTful API used by clients to manage resources. ![Diagram of Azure Resource Manager](../../_images/governance-1-12.png) -*Figure 4. Azure Resource Manager.* +*Figure 4 - Azure Resource Manager.* The following figure shows three clients: [PowerShell](/powershell/azure/overview), the [Azure portal](https://portal.azure.com), and the [Azure CLI](/cli/azure): ![Diagram of Azure clients connecting to the Azure Resource Manager API](../../_images/governance-1-13.png) -*Figure 5. Azure clients connect to the Azure Resource Manager RESTful API.* +*Figure 5 - Azure clients connect to the Azure Resource Manager RESTful API.* While these clients connect to Azure Resource Manager using the RESTful API, Azure Resource Manager does not include functionality to manage resources directly. Rather, most resource types in Azure have their own [**resource provider**](/azure/azure-resource-manager/resource-group-overview#terminology). ![Azure resource providers](../../_images/governance-1-14.png) -*Figure 6. Azure resource providers.* +*Figure 6 - Azure resource providers.* When a client makes a request to manage a specific resource, Azure Resource Manager connects to the resource provider for that resource type to complete the request. For example, if a client makes a request to manage a virtual machine resource, Azure Resource Manager connects to the **Microsoft.Compute** resource provider. ![Azure Resource Manager connecting to the Microsoft.Compute resource provider](../../_images/governance-1-15.png) -*Figure 7. Azure Resource Manager connects to the **Microsoft.Compute** resource provider to manage the resource specified in the client request.* +*Figure 7 - Azure Resource Manager connects to the **Microsoft.Compute** resource provider to manage the resource specified in the client request.* Azure Resource Manager requires the client to specify an identifier for both the subscription and the resource group in order to manage the virtual machine resource. @@ -71,12 +71,12 @@ Now that you have an understanding of how Azure Resource Manager works, return t The first control is that a request must be made by a validated user, and Azure Resource Manager has a trusted relationship with [Azure Active Directory (Azure AD)](/azure/active-directory) to provide user identity functionality. ![Azure Active Directory](../../_images/governance-1-16.png) -*Figure 8. Azure Active Directory.* +*Figure 8 - Azure Active Directory.* In Azure AD, users are segmented into **tenants**. A tenant is a logical construct that represents a secure, dedicated instance of Azure AD typically associated with an organization. Each subscription is associated with an Azure AD tenant. ![An Azure AD tenant associated with a subscription](../../_images/governance-1-17.png) -*Figure 9. An Azure AD tenant associated with a subscription.* +*Figure 9 - An Azure AD tenant associated with a subscription.* Each client request to manage a resource in a particular subscription requires that the user has an account in the associated Azure AD tenant. diff --git a/docs/cloud-adoption/governance/resource-consistency/discipline-improvement.md b/docs/cloud-adoption/governance/resource-consistency/discipline-improvement.md index ee53b7f81ff..d9ea3e56871 100644 --- a/docs/cloud-adoption/governance/resource-consistency/discipline-improvement.md +++ b/docs/cloud-adoption/governance/resource-consistency/discipline-improvement.md @@ -19,7 +19,7 @@ This article outlines some potential tasks your company can engage in to better ![Four phases of adoption](../../_images/adoption-phases.png) -*Figure 1. Adoption phases of the incremental approach to cloud governance.* +*Figure 1 - Adoption phases of the incremental approach to cloud governance.* It's impossible for any one document to account for the requirements of all businesses. As such, this article outlines suggested minimum and potential example activities for each phase of the governance maturation process. The initial objective of these activities is to help you build a [Policy MVP](../journeys/index.md#an-incremental-approach-to-cloud-governance) and establish a framework for incremental policy evolution. Your Cloud Governance team will need to decide how much to invest in these activities to improve your Resource Consistency governance capabilities. diff --git a/docs/cloud-adoption/governance/resource-consistency/governance-multiple-teams.md b/docs/cloud-adoption/governance/resource-consistency/governance-multiple-teams.md index fd629586840..034409f1ff7 100644 --- a/docs/cloud-adoption/governance/resource-consistency/governance-multiple-teams.md +++ b/docs/cloud-adoption/governance/resource-consistency/governance-multiple-teams.md @@ -54,12 +54,12 @@ The user identities for both the Azure Account Owner and the Azure AD global adm The Azure Account Owner has permission to create, update, and delete subscriptions: ![Azure account with Azure Account Manager and Azure AD global admin](../../_images/governance-3-0.png) -*Figure 1. An Azure account with an Account Manager and Azure AD Global Administrator.* +*Figure 1 - An Azure account with an Account Manager and Azure AD Global Administrator.* The Azure AD **global administrator** has permission to create user accounts: ![Azure account with Azure Account Manager and Azure AD global admin](../../_images/governance-3-0a.png) -*Figure 2. The Azure AD Global Administrator creates the required user accounts in the tenant.* +*Figure 2 - The Azure AD Global Administrator creates the required user accounts in the tenant.* The first two accounts, **App1 Workload Owner** and **App2 Workload Owner** are each associated with an individual in your organization responsible for managing a workload. The **network operations** account is owned by the individual that is responsible for the shared infrastructure resources. Finally, the **subscription owner** account is associated with the individual responsible for ownership of subscriptions. @@ -77,7 +77,7 @@ Let's take a look at two example permission models to understand this concept a In both examples, there is a subscription service administrator that is assigned the [built-in owner role][rbac-built-in-owner] at the subscription scope. Recall that the [built-in owner role][rbac-built-in-owner] grants all permissions including the management of access to resources. ![subscription service administrator with owner role](../../_images/governance-2-1.png) -*Figure 3. A subscription with a service administrator assigned the built-in owner role.* +*Figure 3 - A subscription with a service administrator assigned the built-in owner role.* 1. In the first example, there is **workload owner A** with no permissions at the subscription scope - they have no resource access management rights by default. This user wants to deploy and manage the resources for their workload. They must contact the **service administrator** to request creation of a resource group. ![workload owner requests creation of resource group A](../../_images/governance-2-2.png) @@ -99,7 +99,7 @@ In both examples, there is a subscription service administrator that is assigned At this point, each of the workload owners is isolated in their own resource group. None of the workload owners or their team members have management access to the resources in any other resource group. ![subscription with resource groups A and B](../../_images/governance-2-10.png) -*Figure 4. A subscription with two workload owners isolated with their own resource group.* +*Figure 4 - A subscription with two workload owners isolated with their own resource group.* This model is a least-privilege model—each user is assigned the correct permission at the correct resource management scope. @@ -121,7 +121,7 @@ Let's take a look at second example that reduces the number of tasks performed b Note that in this model, the **service administrator** performed fewer actions than they did in the first example due to the delegation of management access to each of the individual workload owners. ![subscription with resource groups A and B](../../_images/governance-2-16.png) -*Figure 5. A subscription with a service administrator and two workload owners, all assigned the built-in owner role.* +*Figure 5 - A subscription with a service administrator and two workload owners, all assigned the built-in owner role.* However, because both **workload owner A** and **workload owner B** are assigned the built-in owner role at the subscription scope, they have each inherited the built-in owner role for each other's resource group. This means that not only do they have full access to one another's resources, they are also able to delegate management access to each other's resource groups. For example, **workload owner B** has rights to add any other user to **resource group A** and can assign any role to them, including the built-in owner role. @@ -144,12 +144,12 @@ Before you look at examples of each of these models, let's review the management Recall from the requirements that you have an individual in the organization who is responsible for subscriptions, and this user owns the **subscription owner** account in the Azure AD tenant. However, this account does not have permission to create subscriptions. Only the **Azure Account Owner** has permission to do this: ![An Azure Account Owner creates a subscription](../../_images/governance-3-0b.png) -*Figure 6. An Azure Account Owner creates a subscription.* +*Figure 6 - An Azure Account Owner creates a subscription.* Once the subscription has been created, the **Azure Account Owner** can add the **subscription owner** account to the subscription with the **owner** role: ![The Azure Account Owner adds the subscription owner user account to the subscription with the owner role.](../../_images/governance-3-0c.png) -*Figure 7. The Azure Account Owner adds the **subscription owner** user account to the subscription with the **owner** role.* +*Figure 7 - The Azure Account Owner adds the **subscription owner** user account to the subscription with the **owner** role.* The **subscription owner** can now create **resource groups** and delegate resource access management. diff --git a/docs/cloud-adoption/governance/resource-consistency/governance-simple-workload.md b/docs/cloud-adoption/governance/resource-consistency/governance-simple-workload.md index 2e82c89d78d..ca8e4e8aeee 100644 --- a/docs/cloud-adoption/governance/resource-consistency/governance-simple-workload.md +++ b/docs/cloud-adoption/governance/resource-consistency/governance-simple-workload.md @@ -30,7 +30,7 @@ Before you begin designing our governance model, it's important to understand ho When Azure was added to your organization's Enterprise Agreement, your organization was prompted to create an **Azure account**. During the account creation process, an **Azure account owner** was created, as well as an Azure Active Directory (Azure AD) tenant with a **global administrator** account. An Azure AD tenant is a logical construct that represents a secure, dedicated instance of Azure AD. ![Azure account with Azure Account Manager and Azure AD global administrator](../../_images/governance-3-0.png) -*Figure 1. An Azure account with an Account Manager and Azure AD Global Administrator.* +*Figure 1 - An Azure account with an Account Manager and Azure AD Global Administrator.* ## Identity management @@ -41,7 +41,7 @@ Our requirement is identity management for a single **workload owner** who is re Our Azure AD global administrator will create the **workload owner** account for the workload owner: ![The Azure AD global administrator creates the workload owner account](../../_images/governance-1-2.png) -*Figure 2. The Azure AD global administrator creates the workload owner user account.* +*Figure 2 - The Azure AD global administrator creates the workload owner user account.* You aren't able to assign resource access permission until this user is added to a **subscription**, so you'll do that in the next two sections. @@ -52,45 +52,45 @@ As the number of resources deployed by your organization grows, the complexity o The top level of resource management scope is the **subscription** level. A subscription is created by the Azure **account owner**, who establishes the financial commitment and is responsible for paying for all Azure resources associated with the subscription: ![The Azure account owner creates a subscription](../../_images/governance-1-3.png) -*Figure 3. The Azure account owner creates a subscription.* +*Figure 3 - The Azure account owner creates a subscription.* When the subscription is created, the Azure **account owner** associates an Azure AD tenant with the subscription, and this Azure AD tenant is used for authenticating and authorizing users: ![The Azure account owner associates the Azure AD tenant with the subscription](../../_images/governance-1-4.png) -*Figure 4. The Azure account owner associates the Azure AD tenant with the subscription.* +*Figure 4 - The Azure account owner associates the Azure AD tenant with the subscription.* You may have noticed that there is currently no user associated with the subscription, which means that no one has permission to manage resources. In reality, the **account owner** is the owner of the subscription and has permission to take any action on a resource in the subscription. However, in practical terms the **account owner** is more than likely a finance person in your organization and is not responsible for creating, reading, updating, and deleting resources - those tasks will be performed by the **workload owner**. Therefore, you need to add the **workload owner** to the subscription and assign permissions. Since the **account owner** is currently the only user with permission to add the **workload owner** to the subscription, they add the **workload owner** to the subscription: ![The Azure account owner adds the **workload owner** to the subscription](../../_images/governance-1-5.png) -*Figure 5. The Azure account owner adds the workload owner to the subscription.* +*Figure 5 - The Azure account owner adds the workload owner to the subscription.* The Azure **account owner** grants permissions to the **workload owner** by assigning a [role-based access control (RBAC)](/azure/role-based-access-control) role. The RBAC role specifies a set of permissions that the **workload owner** has for an individual resource type or a set of resource types. Notice that in this example, the **account owner** has assigned the [built-in **owner** role](/azure/role-based-access-control/built-in-roles#owner): ![The **workload owner** was assigned the built-in owner role](../../_images/governance-1-6.png) -*Figure 6. The workload owner was assigned the built-in owner role.* +*Figure 6 - The workload owner was assigned the built-in owner role.* The built-in **owner** role grants all permissions to the **workload owner** at the subscription scope. > [!IMPORTANT] -> The Azure **acount owner** is responsible for the financial committment associated with the subscription, but the **workload owner** has the same permissions. The **account owner** must trust the **workload owner** to deploy resources that are within the subscription budget. +> The Azure **account owner** is responsible for the financial commitment associated with the subscription, but the **workload owner** has the same permissions. The **account owner** must trust the **workload owner** to deploy resources that are within the subscription budget. The next level of management scope is the **resource group** level. A resource group is a logical container for resources. Operations applied at the resource group level apply to all resources in a group. Also, it's important to note that permissions for each user are inherited from the next level up unless they are explicitly changed at that scope. To illustrate this, let's look at what happens when the **workload owner** creates a resource group: ![The **workload owner** creates a resource group](../../_images/governance-1-7.png) -*Figure 7. The workload owner creates a resource group and inherits the built-in owner role at the resource group scope.* +*Figure 7 - The workload owner creates a resource group and inherits the built-in owner role at the resource group scope.* Again, the built-in **owner** role grants all permissions to the **workload owner** at the resource group scope. As discussed earlier, this role is inherited from the subscription level. If a different role is assigned to this user at this scope, it applies to this scope only. The lowest level of management scope is at the **resource** level. Operations applied at the resource level apply only to the resource itself. And once again, permissions at the resource level are inherited from resource group scope. For example, let's look at what happens if the **workload owner** deploys a [virtual network](/azure/virtual-network/virtual-networks-overview) into the resource group: ![The **workload owner** creates a resource](../../_images/governance-1-8.png) -*Figure 8. The workload owner creates a resource and inherits the built-in owner role at the resource scope.* +*Figure 8 - The workload owner creates a resource and inherits the built-in owner role at the resource scope.* The **workload owner** inherits the owner role at the resource scope, which means the workload owner has all permissions for the virtual network. diff --git a/docs/cloud-adoption/governance/security-baseline/discipline-improvement.md b/docs/cloud-adoption/governance/security-baseline/discipline-improvement.md index e284a4c84b4..3d85afb4734 100644 --- a/docs/cloud-adoption/governance/security-baseline/discipline-improvement.md +++ b/docs/cloud-adoption/governance/security-baseline/discipline-improvement.md @@ -19,7 +19,7 @@ This article outlines some potential tasks your company can engage in to better ![Four phases of adoption](../../_images/adoption-phases.png) -*Figure 1. Adoption phases of the incremental approach to cloud governance.* +*Figure 1 - Adoption phases of the incremental approach to cloud governance.* It's impossible for any one document to account for the requirements of all businesses. As such, this article outlines suggested minimum and potential example activities for each phase of the governance maturation process. The initial objective of these activities is to help you build a [Policy MVP](../journeys/index.md#an-incremental-approach-to-cloud-governance) and establish a framework for incremental policy evolution. Your Cloud Governance team will need to decide how much to invest in these activities to improve your Security Baseline governance capabilities. diff --git a/docs/cloud-adoption/infrastructure/misc/hybrid-consistency.md b/docs/cloud-adoption/infrastructure/misc/hybrid-consistency.md index 7b49b6894cc..c38473e2919 100644 --- a/docs/cloud-adoption/infrastructure/misc/hybrid-consistency.md +++ b/docs/cloud-adoption/infrastructure/misc/hybrid-consistency.md @@ -20,7 +20,7 @@ Hybrid deployment models during migration can reduce risk and contribute to a sm Using a hybrid cloud solution allows organizations to scale computing resources. It also eliminates the need to make massive capital expenditures to handle short-term spikes in demand. Changes to your business can drive the need to free up local resources for more sensitive data or applications. It's easier, faster, and less expensive to deprovision cloud resources. You pay only for those resources your organization temporarily uses, instead of having to purchase and maintain additional resources. This approach reduces the amount of equipment that might remain idle over long periods of time. Hybrid cloud computing delivers all the benefits of cloud computing flexibility, scalability, and cost efficiencies with the lowest possible risk of data exposure. ![Creating hybrid cloud consistency across identity, management, security, data, development, and DevOps](../../_images/hybrid-consistency.png) -*Figure 1. Creating hybrid cloud consistency across identity, management, security, data, development, and DevOps* +*Figure 1 - Creating hybrid cloud consistency across identity, management, security, data, development, and DevOps.* A true hybrid cloud solution must provide four components, each of which brings significant benefits: diff --git a/docs/cloud-adoption/migrate/azure-migration-guide/manage-costs.md b/docs/cloud-adoption/migrate/azure-migration-guide/manage-costs.md index d35abd34b6a..8bd178b8e96 100644 --- a/docs/cloud-adoption/migrate/azure-migration-guide/manage-costs.md +++ b/docs/cloud-adoption/migrate/azure-migration-guide/manage-costs.md @@ -63,7 +63,7 @@ Azure Migrate calculates **monthly cost estimates** based on data captured by th The resulting estimate, pictured below, identifies the monthly costs of compute and storage, which often represent the largest portion of cloud costs. ![compute-storage-monthly-cost-estimate.png](./media/manage-costs/compute-storage-monthly-cost-estimate.png) -_Figure 1. Image of the Cost Details view of an assessment in Azure Migrate_ +*Figure 1 - Image of the Cost Details view of an assessment in Azure Migrate.* ## Additional resources diff --git a/docs/cloud-adoption/organization/cost-conscious-organization.md b/docs/cloud-adoption/organization/cost-conscious-organization.md index a833c052307..7c055610ec7 100644 --- a/docs/cloud-adoption/organization/cost-conscious-organization.md +++ b/docs/cloud-adoption/organization/cost-conscious-organization.md @@ -17,7 +17,7 @@ As outlined in [Motivations: Why are we moving to the cloud?](../business-strate Ensuring cost consciousness is not a one-time activity. Like other cloud-adoption topics, it's iterative. The following diagram outlines this process to focus on three interdependent activities: *visibility*, *accountability*, and *optimization*. These processes play out at macro and micro levels, which we describe in detail in this article. ![Cost-conscious process](../_images/ready/cost-optimization-process.png) -*Figure 1. Outline of the cost-conscious organization* +*Figure 1 - Outline of the cost-conscious organization.* ## General cost-conscious processes diff --git a/docs/cloud-adoption/plan/suggested-skills.md b/docs/cloud-adoption/plan/suggested-skills.md index 67d60606634..81e6cfb0799 100644 --- a/docs/cloud-adoption/plan/suggested-skills.md +++ b/docs/cloud-adoption/plan/suggested-skills.md @@ -15,7 +15,7 @@ ms.subservice: plan IT staff members might feel anxious about their roles and positions as they realize a different set of skills is needed to support cloud solutions. Agile employees who explore and learn new cloud technologies don’t need to have that fear. They can lead the adoption of cloud services by helping the organization understand and embrace the associated changes. ![Mapping of skills to IT roles in a cloud hosted environment](../_images/skills-guidance.png) -*Figure 1. Mapping of skills to IT roles in a cloud-hosted environment* +*Figure 1 - Mapping of skills to IT roles in a cloud-hosted environment.* The Cloud Adoption Framework guides readers through the full adoption lifecycle. Throughout this framework, readers are provided opportunities to build necessary skills. To help you get started on this journey, skills-readiness articles are included in the following outline for easier access. Each of the following links maps to the skills required to be successful in each of those adoption phases. 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you running a web (HTTP/HTTPS) application? - - Dynamic connector.5 - No - - - - - No - - Start/End.2014 - Is your application internet facing? - - - - - - - - - - - - - - - - - - - - Is your application internet facing? - - Process.2005 - Azure Load Balancer - - - - - - - - - - - - - - - - - - - Azure Load Balancer - - Process.2006 - Traffic Manager + Azure Load Balancer - - - - - - - - - - - - - - - - - - - Traffic Manager + Azure Load Balancer - - Dynamic connector.11 - Yes - - - - - Yes - - Start/End.2017 - Does your application need global load balancing i.e. is it d... - - - - - - - - - - - - - - - - - - - - Does your application need global load balancing i.e. is it deployed across multiple regions? - - Dynamic connector.13 - Yes - - - - - Yes - - Start/End.2012 - Does your application require performance acceleration? - - - - - - - - - - - - - - - - - - - - Does your application require performance acceleration? - - Start/End.2011 - Do you need SSL offload or per HTTP/HTTPS request application... - - - - - - - - - - - - - - - - - - - - Do you need SSL offload or per HTTP/HTTPS request application layer processing within virtual network (VNET)? - - Dynamic connector.24 - Yes - - - - - Yes - - Process.2008 - Azure Front Door + Application Gateway (IaaS or PaaS) - - - - - - - - - - - - - - - - - - - Azure Front Door + Application Gateway (IaaS or PaaS) - - Process.2010 - Azure Front Door + Azure Load Balancer (IaaS) - - - - - - - - - - - - - - - - - - - Azure Front Door + Azure Load Balancer (IaaS) - - Dynamic connector.1004 - Yes - - - - - Yes - - Dynamic connector.1005 - No - - - - - No - - Process.2007 - Application Gateway (IaaS or PaaS) - - - - - - - - - - - - - - - - - - - Application Gateway (IaaS or PaaS) - - Start/End.2016 - Is your application internet facing? - - - - - - - - - - - - - - - - - - - - Is your application internet facing? - - Dynamic connector.1012 - Yes - - - - - Yes - - Dynamic connector.1013 - No - - - - - No - - Process.2009 - Azure Front Door + PaaS (e.g. App Service) - - - - - - - - - - - - - - - - - - - Azure Front Door + PaaS (e.g. App Service) - - Start/End.2013 - Does your application need global load balancing i.e. is it d... - - - - - - - - - - - - - - - - - - - - Does your application need global load balancing i.e. is it deployed across multiple regions? - - Dynamic connector.2001 - Yes - - - - - Yes - - Dynamic connector.2002 - No - - - - - No - - Dynamic connector.2004 - Yes - - - - - Yes - - Dynamic connector.2018 - No - - - - - No - - Start/End.2019 - PaaS or IaaS application? - - - - - - - - - - - - - - - - - - - PaaS or IaaS application? - - Dynamic connector.2020 - No - - - - - No - - Dynamic connector.2021 - PaaS - - - - - PaaS - - Dynamic connector.2022 - IaaS - - - - - IaaS - - Process.2023 - Application Gateway (IaaS or PaaS) - - - - - - - - - - - - - - - - - - - Application Gateway (IaaS or PaaS) - - Dynamic connector.2024 - No - - - - - No - - Branch: return.2025 - - - - - - - - - - - Branch: return.2026 - - - - - - - - - - - Branch: return.2027 - - - - - - - - - - - Sheet.1014 - - Sheet.1015 - - - - Sheet.1016 - - - - Sheet.1017 - - - - Sheet.1018 - - - - - Sheet.26 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Application Gateway (New) (nc).1128 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Application Gateway (New) (nc).2029 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dynamic connector.2030 - - - - Application Gateway (New) (nc).2031 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sheet.2032 - - Sheet.2033 - - - - Sheet.2034 - - - - - Sheet.2035 - - Sheet.2036 - - - - Sheet.2037 - - - - - Sheet.2038 - - Sheet.2039 - - - - Sheet.2040 - - - - Sheet.2041 - - - - Sheet.2042 - - - - - Dynamic connector.2043 - - - - Sheet.2044 - - Sheet.2045 - - - - Sheet.2046 - - - - Sheet.2047 - - - - Sheet.2048 - - - - - Sheet.2049 - - Sheet.2050 - - - - Sheet.2051 - - - - - Dynamic connector.2052 - - - - Sheet.27 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dynamic connector.2053 - - - - From 8b009130ec2a8f0284acd6e44703be505d8fe1a0 Mon Sep 17 00:00:00 2001 From: Sharad Agrawal Date: Tue, 13 Aug 2019 08:35:38 -0700 Subject: [PATCH 19/19] Updating image ith PR feeback on on-prem term --- docs/guide/images/load-balancing-choices.png | Bin 195857 -> 195845 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/docs/guide/images/load-balancing-choices.png b/docs/guide/images/load-balancing-choices.png index d4f02e5cb319c13a1c3b48ba5ba65f80910e00f6..24780e73ed54c4cb3da6da14076c814899876f46 100644 GIT binary patch literal 195845 zcmeFY`9G9x_%}Z4E~TWB6rt`GB5ARdT|$yAA$ujuU<@(V8KV?MC_?sqU&b*o-#)w|b6)3lo#(N>&-Za$Z_G>#1O>zdKp>Ey z;ho#}L7@FZAkbeQ_w5Bf*&m`I3jE^pyKis{RMmNE7Wm^YHyvXg5U3{p!1m)kylZ^! 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