1. Deploy the redpanda-operator helm chart on Google Kubernetes Engine (GKE)


    To deploy the redpanda-operator Helm chart on Google Kubernetes Engine (GKE), we'll go through the following steps:

    1. Set up a Google Kubernetes Engine cluster where your redpanda-operator will be deployed. We'll use Pulumi's @pulumi/gcp package to provision the GKE cluster.

    2. Once the cluster is up and running, we will use Pulumi's @pulumi/kubernetes provider to deploy the redpanda-operator Helm chart. This provider interacts with the Kubernetes API to manage resources.

    Here's a detailed Pulumi TypeScript program that accomplishes the above:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // This is the name you want to give your GKE cluster const clusterName = "redpanda-cluster"; // Create a GKE cluster const cluster = new gcp.container.Cluster(clusterName, { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { machineType: "n1-standard-1", // or any other machine type oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring" ], }, }); // Export the Kubeconfig export const kubeconfig = cluster.name.apply(name => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.clusterCaCertificate} server: https://${cluster.endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); // Create a Kubernetes provider that uses our cluster from above const k8sProvider = new k8s.Provider(clusterName, { kubeconfig: kubeconfig }); // Deploy the redpanda-operator Helm chart const redpandaOperatorChart = new k8s.helm.v3.Chart("redpanda-operator", { chart: "redpanda-operator", version: "0.1.0", // Specify the chart version you want to deploy fetchOpts:{ repo: "https://charts.vectorized.io/", // The repository where the chart can be found }, }, { provider: k8sProvider }); // Export the Chart name export const chartName = redpandaOperatorChart.name;

    In this program, we:

    1. Import the necessary Pulumi libraries for working with GCP and Kubernetes.

    2. Define the name of the GKE cluster we're going to create.

    3. Create a GKE cluster with an appropriate machine type and necessary OAuth scopes using the gcp.container.Cluster resource.

    4. Output the generated kubeconfig which will be used by the Kubernetes provider to interact with the GKE cluster.

    5. Instantiate the Kubernetes provider with the kubeconfig.

    6. Deploy the redpanda-operator Helm chart using the kubernetes.helm.v3.Chart resource, specifying the chart name, version, and repository URL.

    7. Output the name of the deployed chart for reference.

    After executing this program with Pulumi, the redpanda-operator Helm chart will be deployed onto your GKE cluster, and you should be able to interact with your Redpanda clusters via Kubernetes APIs or kubectl command-line tool.

    Make sure you have Pulumi installed, along with the GCP CLI, and configured with the appropriate credentials before running this program. To execute, run pulumi up in the same directory as the code above, and Pulumi will handle the creation of resources as specified.