Kubernetes Cluster Creation
ForgeRock provides shell scripts based on the Azure CLI to use for AKS cluster creation. Use them when you deploy the CDM. After you’ve finished deploying the CDM, you can use the CDM as a sandbox to explore a different infrastructure-as-code solution, if you like.
When you Create a Project Plan, you’ll need to identify your organization’s preferred infrastructure-as-code solution, and create your own cluster creation automation scripts, if necessary.
Here are the steps the Cloud Deployment Team followed to create a Kubernetes cluster on AKS:
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Set the value of the
ACR_NAME
environment variable to the name of your ACS container registry. For example, my-container-registry, not my-container-registry.azurecr.io:$ export ACR_NAME=my-container-registry
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Create the cluster:
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Change to the directory that contains the cluster creation script:
$ cd /path/to/forgeops/cluster/aks
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Source the script that contains the configuration for your cluster size. For example:
$ source ./small.sh
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Run the cluster creation script[1]:
$ ./cluster-up.sh
The script creates:
-
The cluster
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The DS node pool (for large clusters only)
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The
fast
storage class -
The
prod
namespace -
A public static IP address
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To verify that the script created the cluster, log in to the Azure portal. Select the Kubernetes Engine option. You should see the new cluster in the list of Kubernetes clusters.
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Run the kubectx command.
The output should contain your newly created cluster and any existing clusters.
The current context should be set to the context for your new cluster.
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Check the status of the pods in your cluster until all the pods are ready:
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List all the pods in the cluster:
$ kubectl get pods --all-namespaces NAMESPACE NAME READY STATUS RESTARTS AGE kube-system azure-cni-networkmonitor-7jhxs 1/1 Running 0 22m kube-system azure-cni-networkmonitor-7js4b 1/1 Running 0 20m . . . kube-system azure-ip-masq-agent-2vdnb 1/1 Running 0 22m . . .
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Review the output. Deployment is complete when:
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The
READY
column indicates all running containers are available. The entry in theREADY
column represents [total number of containers/number of available containers]. -
All entries in the
STATUS
column indicateRunning
orCompleted
.
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-
If necessary, continue to query your cluster’s status until all the pods are ready.
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