| title | authors | reviewers | creation-date | last-updated | status | replaces | see-also | superseded-by | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Runtime Hooks for Add-on Management |
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2022-04-14 |
2022-04-14 |
implementable |
- Glossary
- Summary
- Motivation
- Proposal
- Alternatives
- Upgrade strategy
- Additional Details
- Implementation History
Refer to the Cluster API Book Glossary.
- Add-on: an application that extends the functionality of Kubernetes.
This proposal introduces a set of Runtime Hooks designed for providing the foundation for the implementation of add-on orchestration solutions on top of Cluster API. However, given that the hooks defined in this proposal are going to model common events in the Cluster lifecycle they could be used for other use cases beyond add-on management, but for the sake of having a focused and actionable scope, we are not exploring those option in this document.
Cluster Resource Set (CRS) is the current add-on management tool packaged with Cluster API, but many users rely on their own package management tool like helm, kapp, ArgoCD or flux, because those tools have a broad range of capabilities that are not currently available in CRS.
The ability to orchestrate add-ons in line with events in the cluster lifecycle is becoming a requirement for many CAPI users, but in order to make this possible a mechanism to plug into the cluster lifecycle is required. This proposal introduces a set of Runtime Hooks designed to meet the need for add-on management orchestration including:
- Operations for installing add-ons during the cluster provisioning workflow
- Operations for upgrading add-ons during the cluster upgrade workflow
- Operations for handling add-ons during the cluster deletion workflow
Runtime Hooks enable the Cluster Lifecycle to trigger these processes based on the current state of the cluster, allowing them to start after some state has been reached or waiting for them to complete before moving on with Cluster-wide operations such as Cluster creation or deletion.
Once these hooks are in place, it will be possible to build a comprehensive add-on orchestration solution on top of Cluster API that can leverage external tools such as helm, kapp, ArgoCD, flux or eventually CRS as an alternative.
- Identify a set of Runtime Hooks that enable management of the entire add-on lifecycle
- Define the OpenAPI specification of these Runtime Hooks
- Document when the corresponding Runtime Extensions are called
- Provide guidelines for developers implementing a corresponding Runtime Extension
- Defining all possible Runtime Hooks in Cluster API; this proposal defines only a subset of hooks required for add-on orchestration.
- Define a full add-on management solution or define detailed steps for solving add-on related problems like CPI migration from in-tree to out-of-tree; this proposal is focused only in providing the foundational capabilities to do so.
This proposal adds a set of Runtime Hooks specifically designed for Cluster created from a ClusterClass and thus leveraging the idea of managed topology.
The main reason for this choice is because a managed topology has a set of capabilities required for lifecycle hooks implementation:
- A managed topology has the overarching view of the entire Cluster (vs other components in CAPI which are limited to controlling single resources or a subset of them).
- A managed topology already has the capability to control all resources in a Cluster, thus making it possible to orchestrate lifecycle workflows like e.g. upgrades.
In practice, if we look at the six lifecycle hooks introduced by this proposal, we should recognize that four of them cannot be implemented outside of the topology controller because there is no viable point to be used in an alternative (BeforeClusterCreate, BeforeClusterUpgrade, AfterControlPlaneUpgrade, and AfterClusterUpgrade).
Also, by working in the topology controller it is possible to implement hooks allowing to block the cluster from transitioning from one state to another, which is a capability required to properly orchestrate the addon lifecycle.
These user stories are based on a concrete example of an add-on - a metrics database - to illustrate the use of each Runtime Hook.
As a developer of an add-ons orchestration solution:
- Before a Cluster is Created I want to automatically check if enough disk space is available for allocation to the cluster for persistent storage of collected metrics values.
- After the Control Plane is Initialized I want to automatically install a metrics database and associated add-ons in the workload cluster.
- Before the Cluster is Upgraded I want to install a new version of the metrics database with a new version of the custom metrics apiservice to interact directly with the Kubernetes apiserver.
- After the ControlPlane is Upgraded I want to automatically check that the new version of the custom metrics apiservice is working and correctly fulfilled by my metrics database.
- After the Cluster is Upgraded I want to install new versions of metrics collectors to each upgraded node in the cluster.
- Before the Cluster is Deleted I want to automatically back up persistent volumes used by the metrics database.
Below is a description for the Runtime Hooks introduced by this proposal.
The remainder of this section has been moved to the Cluster API book to avoid duplication.
This section has been moved to the Cluster API book to avoid duplication.
For the general Runtime Extension security model please refer to the developer guide in the Runtime SDK proposal.
Cluster lifecycle can be blocked indefinitely when a Runtime Extension either blocks or fails indefinitely. Mitigation:
- Surface errors from the Runtime Extension that is blocking reconciliation in Conditions to drive necessary action needed by the user.
- A Runtime Extension should be extensively unit and e2e tested to ensure it behaves as expected.
- Users should be able to manually intervene and unblock the reconciliation.
As future work, we will explore more options like circuit breaker and timeout to unblock reconciliation.
Alternatives to Runtime Hooks for comprehensive add-on management in Cluster API include:
This is the current pattern used by Cluster Resource Set. The implementers can only react to changes on CAPI resources, e.g. a Cluster being created, but they have no control over the cluster lifecycle.
This and similar solutions based on scripting or git ops approaches are considered inadequate for comprehensive, integrated add-on management as they have limited insight into the state of the Cluster and can not easily influence reconciliation based on add-on state.
More details about why watching Cluster API resources without hooks is not considered a valid alternative can be found in the Cluster Addon Proposal.
For the implementation detail of Open API spec, we considered following alternative approaches:
In the proposed Open API specification for request type we have a full Cluster object. We considered an alternative of only including the Cluster name and namespace to reduce the size of the message. It was rejected based on the assumption that most extensions will require at least some additional information from the Cluster. Sending the full object reduces calls to the API server.
In the proposed Open API specification we are including the Cluster API object in requests. We considered using runtime.RawExtension in order to avoid having to bump the version of lifecycle hooks when bumping the version of the CAPI types. It was rejected as sending another version of the CAPI type via runtime.RawExtension would always be a breaking change. Embedding the type directly makes the version of the API used explicit.
This proposal does not affect the Cluster API upgrade strategy.
If a new ClusterAPI version introduces a new Lifecycle Hook version, Runtime Extensions should be adapted, to avoid issues when older Lifecycle Hook versions are eventually removed. For details about the deprecation rules please refer to the Runtime SDK.
This proposal does not affect the Cluster API cluster upgrade strategy.
However Runtime Extension will be able to tap into the upgrade process at defined stages.
While in alpha phase it is expected that the Runtime Hooks will have unit and integration tests covering the topology reconciliation with calls to Runtime Extensions.
With the increasing adoption of this feature we expect E2E test coverage for topology reconciliation with a Runtime Extension generating Runtime Hook Responses.
Main criteria for graduating this feature is adoption; further detail about graduation criteria will be added in future iterations of this document.
See upgrade strategy.
- 2022-03-29: Compiled a CAEP Google Doc
- 2022-04-04: Opened corresponding issue
- 2022-04-06: Presented proposal at a community meeting
- 2022-04-14: Opened proposal PR