1. Deploy the postgres-cluster helm chart on Digital Ocean Kubernetes Service

    TypeScript

    To deploy a PostgreSQL cluster on DigitalOcean Kubernetes Service (DOKS) using a Helm chart with Pulumi, you'll have to perform a few steps. Here's what you generally need to do:

    1. Instantiate a DigitalOcean Kubernetes cluster using Pulumi's digitalocean.KubernetesCluster resource.
    2. Use Pulumi's kubernetes.helm.v3.Chart resource to deploy a PostgreSQL Helm chart onto the Kubernetes cluster.

    Let's break this down into stages and go through the code required for each step.

    Stage 1: Provision the Kubernetes Cluster

    First, you need to declare a Kubernetes cluster in DigitalOcean. We will use the digitalocean.KubernetesCluster resource to create it with the required node pool specifications.

    Stage 2: Deploy the PostgreSQL Helm Chart

    Once the Kubernetes cluster is provisioned, we can deploy applications onto it. For deploying a PostgreSQL Helm chart, we will use Pulumi's kubernetes.helm.v3.Chart resource. This resource allows us to specify the Helm chart we want to install, its version, and any additional configurations we want to apply.

    Putting It All Together

    Below is the TypeScript program which combines the two stages:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create the DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", // You can choose the region that best suits your location version: "latest", // Specify the version of Kubernetes nodePool: { name: "worker-pool", size: "s-2vcpu-2gb", // The droplet size for each worker node nodeCount: 3 // The number of worker nodes in the pool } }); // Step 2: Deploy the PostgreSQL Helm Chart on the newly created cluster const postgresChart = new k8s.helm.v3.Chart("postgres-chart", { chart: "postgresql", version: "10.3.11", // Make sure to choose the desired chart version fetchOpts: { repo: "https://charts.bitnami.com/bitnami", // The repository where the chart is located }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig }) }); // Export the cluster's kubeconfig export const kubeconfig = cluster.kubeConfigs[0].rawConfig; // Optional: Export the endpoint of the PostgreSQL service export const postgresEndpoint = postgresChart.getResourceProperty("v1/Service", "postgres-chart-postgresql", "status").apply(status => status.loadBalancer.ingress[0].ip);

    Here's what each part of the code does:

    • We import the pulumi, digitalocean, and kubernetes libraries to work with Pulumi's toolset for these services.
    • We use digitalocean.KubernetesCluster to create a cluster in the nyc3 region with a single node pool containing three nodes of size s-2vcpu-2gb.
    • We then create a k8s.helm.v3.Chart resource, specifying the name (postgresql), version (10.3.11), and repository (https://charts.bitnami.com/bitnami) for the PostgreSQL chart we wish to install.
    • The kubeconfig of the created cluster is exported so that you may use it with kubectl or other Kubernetes tools to interact with your cluster.
    • Optionally, we export the load balancer's IP address of the PostgreSQL service for direct access.

    Running the Code

    1. Create a new directory for your Pulumi project and change into it.

    2. Run pulumi new typescript to create a new Pulumi TypeScript project. Follow the prompts to set up your project.

    3. Install the required packages using npm:

      npm install @pulumi/pulumi @pulumi/digitalocean @pulumi/kubernetes
    4. Replace the contents of index.ts with the above TypeScript program.

    5. Run pulumi up to preview and deploy the changes. Pulumi will report on the resources to be created.

    After you run pulumi up and approve the plan, Pulumi will provision the necessary resources on DigitalOcean and deploy the PostgreSQL Helm chart to your cluster. You will be able to use the exported kubeconfig and postgresEndpoint to interact with the PostgreSQL deployment.