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


    To deploy the postgres-with-operator Helm chart on Google Kubernetes Engine (GKE), you will perform the following steps:

    1. Set up a GKE cluster where the Helm chart will be deployed.
    2. Install the Helm chart on the GKE cluster.

    For this task, we'll use a google-native.container/v1beta1.Cluster resource to create a GKE cluster. Then, we'll use the kubernetes:helm.sh/v3:Chart resource from Pulumi's Kubernetes provider to deploy the postgres-with-operator Helm chart on the created GKE cluster.

    Below is a Pulumi program written in TypeScript that demonstrates how to accomplish the above steps. The program will first declare a GKE cluster and then deploy the Helm chart. I'll explain each part of the code in comments and provide explanations around the code as needed.

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision a GKE cluster const cluster = new gcp.container.Cluster("postgres-cluster", { // Configuring the location of the cluster to a specific region or zone location: "us-central1", // Defining the cluster settings like the initial node count and the machine type for the nodes initialNodeCount: 2, nodeConfig: { machineType: "n1-standard-1", }, }); // After the cluster is created, we need to obtain the kubeconfig that will be used to interact with the cluster. // We use Pulumi outputs to fetch the cluster name and the GKE endpoint and then construct the kubeconfig. 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 `; }); // A Kubernetes provider instance is created using the obtained kubeconfig. // This provider is used for deploying resources to the GKE cluster. const k8sProvider = new k8s.Provider("gkeK8s", { kubeconfig: kubeconfig, }); // Step 2: Deploy the Helm chart // Here we are using the Helm chart resource from Pulumi's Kubernetes provider to deploy `postgres-with-operator`. const postgresChart = new k8s.helm.v3.Chart("postgres-chart", { chart: "postgres-operator", repositoryOpts: { repo: "https://charts.bitnami.com/bitnami", }, // You may need to pass specific configuration values for your Helm chart deployment. }, { provider: k8sProvider }); // Export the cluster name and the Kubeconfig to use outside the Pulumi program export const clusterName = cluster.name; export const kubeConfigOutput = kubeconfig;

    In this program:

    • We establish a new Cluster resource called postgres-cluster. This is a GKE cluster that will have 2 nodes of type n1-standard-1.
    • We construct a kubeconfig using the output from the cluster creation, which includes the cluster name, endpoint, and master's auth details. This is needed to communicate with the cluster via kubectl.
    • Then we create a new instance of Provider from the @pulumi/kubernetes package, which allows Pulumi to deploy Kubernetes resources. We pass the kubeconfig to this provider.
    • Following that, we create a Chart resource called postgres-chart, specifying the desired helm chart (postgres-operator from the bitnami repository). The exact chart name for postgres-with-operator will depend on the repository.
    • Lastly, we export clusterName and kubeConfigOutput. These can be accessed after running pulumi up to interact with the cluster if needed.

    Please ensure you have the requisite permissions and have set up the Pulumi CLI with your GCP account. Also, ensure Helm is installed and configured correctly in your environment.

    To deploy this Pulumi program:

    1. Create a new directory and cd into it.
    2. Run pulumi new typescript and follow the prompts to create a new TypeScript Pulumi project.
    3. Install the needed dependencies with npm:
      npm install @pulumi/pulumi @pulumi/gcp @pulumi/kubernetes
    4. Replace the contents of index.ts with the code above.
    5. Run pulumi up and confirm the deployment when prompted.

    The pulumi up command will start the deployment process and provide status updates on the resources being provisioned. Once completed, you'll have a running GKE cluster and the postgres-with-operator Helm chart deployed. You can interact with your cluster using the outputted kubeconfig.