1. Deploy the sparkoperator helm chart on Opensshift


    To deploy the sparkoperator Helm chart on an OpenShift cluster using Pulumi, we'll use the Pulumi Kubernetes provider. This provider allows us to interact with Kubernetes resources in a declarative way using Pulumi's infrastructure as code approach.

    The sparkoperator Helm chart is a popular method for deploying the Spark Operator on Kubernetes, which facilitates the management of Spark applications in a Kubernetes environment. To deploy it, we'll define a Pulumi program that will:

    1. Create a Helm Release, which is a managed instance of a Helm chart deployment.
    2. Point to the sparkoperator chart and specify the OpenShift namespace where the operator will be installed.
    3. If required, adjust the default values provided in the chart with custom configuration.

    Before you run the program, make sure that:

    • You have Pulumi installed and set up.
    • You have access to your OpenShift cluster from the environment where you run Pulumi.
    • You are logged in to your OpenShift cluster and the oc CLI tool is configured to communicate with the cluster.

    Below is the detailed Pulumi TypeScript program to deploy sparkoperator to OpenShift:

    import * as k8s from '@pulumi/kubernetes'; // Create a Pulumi Kubernetes Provider using the current context of kubectl (which should be set to your OpenShift cluster) const openshiftProvider = new k8s.Provider('openshift-provider', { k8sProvider: { context: 'my-openshift-cluster-context' }, // Replace with your OpenShift cluster context if needed }); // Define the Helm Release for the 'sparkoperator' chart const sparkoperatorRelease = new k8s.helm.v3.Release('sparkoperator', { chart: 'sparkoperator', // The name of the chart version: '1.1.6', // The version of the chart, ensure this is the version you want repositoryOpts: { repo: 'https://googlecloudplatform.github.io/spark-on-k8s-operator', // The Helm repository where the chart is located }, namespace: 'spark-operator', // The OpenShift namespace where the operator will be deployed // If you want to provide custom values to the chart, specify them here, e.g.: // values: { // someCustomValue: 'value', // }, }, { provider: openshiftProvider }); // Export the name of the namespace the sparkoperator was deployed into export const sparkoperatorNamespace = sparkoperatorRelease.status.namespace;

    What this program does is:

    • It initializes a new Kubernetes provider openshiftProvider that is configured to use the current context in your Kubeconfig. Be sure to set the context property to match the context name of your OpenShift cluster. This provider is used to tell Pulumi to apply the Kubernetes-related actions in your OpenShift cluster.
    • It then declares a Release resource from the @pulumi/kubernetes/helm module that points to the sparkoperator Helm chart in its respective Helm repository. The Release resource manages the lifecycle of the Helm chart in our Kubernetes cluster.
    • It sets the namespace to 'spark-operator'. Make sure this namespace exists on your OpenShift cluster or adjust the value accordingly. The namespace can be created using oc new-project spark-operator if it doesn't already exist.
    • It exports the namespace where the sparkoperator Helm release is deployed, which can be used for reference or integration with other Pulumi stacks.

    When you run this Pulumi program with pulumi up, Pulumi will perform the necessary actions to deploy the sparkoperator Helm chart on your OpenShift cluster. If you have custom configurations within the Helm chart that you need to include, you can do so using the values property within the Release resource definition.

    After running the program, the Spark Operator will be available in your OpenShift cluster, and you can start deploying Spark applications using it.