1. Deploy the ceph-mon helm chart on Google Kubernetes Engine (GKE)

    TypeScript

    To deploy the ceph-mon Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you will need to perform the following steps:

    1. Create a GKE cluster: This is where your Kubernetes workloads will run.
    2. Install the Helm chart: Once the cluster is up and running, you will use Pulumi's Kubernetes provider to install the ceph-mon Helm chart onto the cluster.

    The following TypeScript program uses Pulumi to accomplish these steps:

    • It first creates a GKE cluster using the gcp.container.Cluster resource.
    • Then it deploys the ceph-mon Helm chart using the kubernetes.helm.sh/v3.Release resource.

    Here's a Pulumi program that defines these resources:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const cluster = new gcp.container.Cluster("ceph-mon-cluster", { initialNodeCount: 3, minMasterVersion: "latest", // Specify your desired version nodeConfig: { machineType: "n1-standard-2", // Adjust the machine type based on your needs 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 Cluster name export const clusterName = cluster.name; // Obtain the kubeconfig for the created cluster const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${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 using the kubeconfig from the created cluster const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the ceph-mon Helm chart onto the cluster const cephMonChart = new k8s.helm.v3.Release("ceph-mon", { chart: "ceph-mon", version: "1.0.0", // Please provide the version needed repositoryOpts: { repo: "https://ceph.github.io/charts", // Repo URL where the chart is located }, namespace: "default", }, { provider: k8sProvider }); // Export the Release name export const cephMonReleaseName = cephMonChart.name;

    Before running the above program, make sure you have Pulumi installed, the gcloud CLI configured for your Google Cloud account, and have the necessary permissions to create resources in your GCP project.

    Here's a high-level overview of the code:

    • GKE Cluster: The gcp.container.Cluster resource creates a new GKE cluster. The node count, Kubernetes version, and machine types are specified in the cluster definition. You may need to adjust these values according to your project requirements.
    • Kubeconfig: The kubeconfig is generated from the cluster details. This configuration is necessary to allow Kubernetes-specific resources like Helm releases to interact with your cluster.
    • Kubernetes Provider: The k8s.Provider resource uses the generated kubeconfig to establish a connection with the GKE cluster.
    • Helm Release: The ceph-mon chart is installed on the GKE cluster using the k8s.helm.v3.Release resource. Be sure to specify the correct version of the chart and the URL of the Helm repository where the chart is located.

    To run this program:

    1. Save the code to a file named index.ts.
    2. Run pulumi up to execute it. Pulumi will perform the deployment, showing you progress and outputs in the terminal.

    This is a basic setup and typically, you would also specify other parameters for customization based on your application's requirements, such as storage classes, persistent volumes, and more configurations that are specific to the `ceph-mon