1. Deploy the ibm-db2 helm chart on Google Kubernetes Engine (GKE)


    To deploy the IBM Db2 Helm chart on Google Kubernetes Engine (GKE), you need to follow these steps:

    1. Set up a GKE Cluster: First, you need to have a GKE cluster running into which the DB2 will be deployed.

    2. Install the Helm CLI: Helm is a package manager for Kubernetes that allows you to deploy applications using Helm charts. Make sure that Helm is installed on your local machine or wherever you will be running the Pulumi script.

    3. Add the IBM Helm Chart Repository: Before you can install the IBM Db2 chart, you need to add the IBM Helm repository so that Helm knows where to find the chart.

    4. Install the IBM Db2 Helm Chart: Once Helm is configured, you can install the IBM Db2 chart into your GKE cluster.

    Now, let's look at the Pulumi program that accomplishes these things. I'll explain each part of the code:

    • The @pulumi/gcp package is used to interact with Google Cloud services, including GKE.
    • The @pulumi/kubernetes package is to interact with the Kubernetes API.
    • The @pulumi/kubernetes/helm/v3 package provides a Helm Chart resource type that makes it possible to deploy Helm charts into a Kubernetes cluster managed by Pulumi.

    Here is the detailed Pulumi TypeScript program that deploys an IBM Db2 instance using its Helm chart to a GKE cluster:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; import * as helm from "@pulumi/kubernetes/helm/v3"; // Create a GKE cluster. const cluster = new gcp.container.Cluster("db2-cluster", { initialNodeCount: 2, // Start with 2 nodes, but this can be increased depending on your needs. nodeVersion: "latest", // Using the latest Node version for the most recent features and updates. minMasterVersion: "latest", // Specify the minimum master version to match the latest node version. }); // Export the Kubeconfig so you can access the cluster with kubectl. export 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 instance that uses our cluster from above. const k8sProvider = new k8s.Provider("db2-k8s-provider", { kubeconfig: kubeconfig, }); // Add the IBM Helm chart repo. const ibmRepo = "https://raw.githubusercontent.com/IBM/charts/master/repo/stable/"; // Install IBM Db2 using the Helm chart. const db2Release = new helm.Chart("db2-release", { chart: "ibm-db2", version: "11.5.0", // Replace with the desired version of Db2 chart fetchOpts: { repo: ibmRepo, }, }, { provider: k8sProvider }); // Export the Db2 service endpoint. export const db2Endpoint = db2Release.getResourceProperty("v1/Service", "db2-release-ibm-db2", "status").apply(status => { return status.loadBalancer.ingress[0].ip; });

    This program will:

    1. Create a new GKE cluster named db2-cluster.
    2. Generate a kubeconfig file which you can use to interact with your cluster via kubectl.
    3. Create a Kubernetes provider which enables Pulumi to deploy resources to our GKE cluster.
    4. It defines a new Helm chart release using IBM's Db2 Helm chart, which will be installed in the GKE cluster.
    5. It exports a db2Endpoint which should give you the IP address to connect to your Db2 instance once it's set up.

    Please replace the version property with the exact version of the Db2 Helm chart you wish to deploy if 11.5.0 is not correct.

    Before running the provided program, ensure that you have configured your Pulumi environment with the correct Google Cloud account and have installed Helm CLI on your machine.

    To deploy this setup, simply copy-paste the TypeScript code into a file named index.ts, run pulumi up, and Pulumi will handle the creation of these resources for you.

    Remember you'll need a tool like kubectl to interact with your GKE cluster and Helm, and both have to be set up and authenticated with your GCP project. The Pulumi.gcp package will handle the creation of the GKE cluster, but the management of resources inside the cluster will require these tools.