- Click the Catalog button on the top
- Select Service from the Catalog
- Search for Kubernetes Service and click on it
- You are now at the Kubernetes deployment page. You need to specify some details about the cluster
- Choose a plan standard or free. The free plan only has one worker node and no subnet. To provision a standard cluster, you will need to upgrade your account to Pay-As-You-Go
To upgrade to a Pay-As-You-Go account, complete the following steps:
- In the console, go to Manage > Account.
- Select Account settings; and click Add credit card.
- Enter your payment information, click Next, and submit your information
- Choose classic or VPC , read the docs and choose the most suitable type for yourself
- Now choose your location settings,
- Choose Geography (continent)
- Choose Single or Multizone.
In single zone, your data is only kept on the datacenter while on the other hand with Multizone, it is distributed to multiple zones, thus safer in an unforeseen zone failure
If you wish to use Multizone, please set up your account with VRF
- If at your current location selection, there is no available Virtual LAN, a new VLAN will be created for you
- Choose a Worker node setup or use the preselected one. Set Worker node amount per zone
- Choose Master Service Endpoint.
In VRF-enabled accounts, you can choose private-only to make your master accessible on the private network or via VPN tunnel. Choose public-only to make your master publicly accessible. When you have a VRF-enabled account, your cluster is set up by default to use both private and public endpoints.
- Give desired tags to your cluster, click create
- Wait for your cluster to be provisioned
- Your cluster is ready for usage
The Block Storage plug-in is a persistent, high-performance iSCSI storage that you can add to your apps by using Kubernetes Persistent Volumes (PVs).
- Click the Catalog button on the top
- Select Software from the catalog
- Search for IBM Cloud Block Storage plug-in and click on it
- On the application page, click in the dot next to the cluster you wish to use
- Click on Enter or Select Namespace and choose the default Namespace or use a custom one (if you get error please wait 30 minutes for the cluster to finalize)
- Give a name to this workspace
- Click install and wait for the deployment
To deploy Kong onto your Kubernetes cluster with Helm, use:
$ helm repo add kong https://charts.konghq.com
$ helm repo update
# Helm 2
$ helm install kong/kong
# Helm 3
$ helm install kong/kong --generate-name --set ingressController.installCRDs=false
This will have a value-production.yaml
file with some parameters oriented to production configuration in comparison to the regular values.yaml can be find. You can use this file instead of the default file.
- metrics.enabled: false
+ metrics.enabled: true
- pdb.enabled: false
+ pdb.enabled: true
- replicaCount: 2
+ replicaCount: 4
Deploy the PostgreSQL sub-chart (default)
helm install my-release bitnami-ibm/kong
Use an external PostgreSQL database
helm install my-release bitnami-ibm/kong \
--set postgresql.enabled=false \
--set postgresql.external.host=_HOST_OF_YOUR_POSTGRESQL_INSTALLATION_ \
--set postgresql.external.password=_PASSWORD_OF_YOUR_POSTGRESQL_INSTALLATION_ \
--set postgresql.external.user=_USER_OF_YOUR_POSTGRESQL_INSTALLATION_
Deploy the Cassandra sub-chart
helm install my-release bitnami-ibm/kong \
--set database=cassandra \
--set postgresql.enabled=false \
--set cassandra.enabled=true
Use an existing Cassandra installation
helm install my-release bitnami-ibm/kong \
--set database=cassandra \
--set postgresql.enabled=false \
--set cassandra.enabled=false \
--set cassandra.external.hosts[0]=_CONTACT_POINT_0_OF_YOUR_CASSANDRA_CLUSTER_ \
--set cassandra.external.hosts[1]=_CONTACT_POINT_1_OF_YOUR_CASSANDRA_CLUSTER_ \
--set cassandra.external.user=_USER_OF_YOUR_CASSANDRA_INSTALLATION_ \
--set cassandra.external.password=_PASSWORD_OF_YOUR_CASSANDRA_INSTALLATION_
If you have a need for additional containers to run within the same pod as Kong (e.g. an additional metrics or logging exporter), you can do so via the sidecars config parameter. Simply define your container according to the Kubernetes container spec.
sidecars:
- name: your-image-name
image: your-image
imagePullPolicy: Always
ports:
- name: portname
containerPort: 1234
Similarly, you can add extra init containers using the initContainers parameter.
initContainers:
- name: your-image-name
image: your-image
imagePullPolicy: Always
ports:
- name: portname
containerPort: 1234
In case you want to add extra environment variables (useful for advanced operations like custom init scripts), you can use the kong.extraEnvVars property.
kong:
extraEnvVars:
- name: KONG_LOG_LEVEL
value: error
Alternatively, you can use a ConfigMap or a Secret with the environment variables. To do so, use the kong.extraEnvVarsCM
or the kong.extraEnvVarsSecret
values.
The Kong Ingress Controller and the Kong Migration job also allow these kinds of configuration. the ingressController.extraEnvVars
, ingressController.extraEnvVarsCM
, ingressController.extraEnvVarsSecret
, migration.extraEnvVars
, migration.extraEnvVarsCM
and migration.extraEnvVarsSecret
values.
For advanced operations, the Bitnami Kong charts allows using custom init scripts that will be mounted in /docker-entrypoint.init-db
. You can use a ConfigMap or a Secret (in case of sensitive data) for mounting these extra scripts. Then use the kong.initScriptsCM
and kong.initScriptsSecret
values.
elasticsearch.hosts[0]=elasticsearch-host
elasticsearch.port=9200
initScriptsCM=special-scripts
initScriptsSecret=special-scripts-sensitive
There are cases where you may want to deploy extra objects, such as KongPlugins, KongConsumers, amongst others. For covering this case, the chart allows adding the full specification of other objects using the extraDeploy parameter. The following example would activate a plugin at deployment time.
## Extra objects to deploy (value evaluated as a template)
##
extraDeploy: |-
- apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: {{ include "common.names.fullname" . }}-plugin-correlation
namespace: {{ .Release.Namespace }}
labels: {{- include "common.labels.standard" . | nindent 6 }}
config:
header_name: my-request-id
plugin: correlation-id
This chart allows you to set your custom affinity using the affinity parameter.
As an alternative, you can use of the preset configurations for pod affinity, pod anti-affinity, and node affinity available at the bitnami/common chart. To do so, set the podAffinityPreset, podAntiAffinityPreset, or nodeAffinityPreset
parameters.