1. Deploy the simple-redis helm chart on Digital Ocean Kubernetes Service


    To deploy a Helm chart on the Digital Ocean Kubernetes Service using Pulumi, you first need to create a Kubernetes cluster in Digital Ocean. Once the cluster is up and running, you can deploy the simple-redis Helm chart to the cluster.

    The Pulumi program below is written in TypeScript and performs the following steps:

    1. Create a Digital Ocean Kubernetes Cluster: This is achieved using the digitalocean.KubernetesCluster resource from the Digital Ocean Pulumi provider. We specify the region, version, and node pool configuration for the Kubernetes cluster.

    2. Deploy the Helm Chart: After the cluster is provisioned, Pulumi can deploy applications packaged as Helm charts directly to the cluster. The kubernetes.helm.v3.Chart resource from the Kubernetes Pulumi provider is used to deploy the simple-redis Helm chart.

    Here's what the Pulumi program looks like:

    import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a Digital Ocean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { // Replace with your desired cluster name and specifications name: "simple-redis-cluster", region: "nyc3", version: "latest", nodePool: { name: "default", size: "s-2vcpu-2gb", nodeCount: 1, }, }); // Step 2: Deploy the simple-redis Helm Chart to the Kubernetes cluster const chart = new k8s.helm.v3.Chart("simple-redis-chart", { chart: "redis", // You might need to specify a repository URL if the chart is not in the default Helm repo // repo: "https://charts.helm.sh/stable", values: { // Specify Helm chart values here }, // We're specifying the cluster and namespace for the Helm chart deployment // The provider property points to the cluster where resources should be created namespace: "default", fetchOpts: { // If the chart requires a specific version or is in a custom repository, // you can add those options here }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig }) }); // Export the cluster's kubeconfig and endpoint export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const clusterEndpoint = cluster.endpoint;


    • We import the necessary Pulumi packages for Digital Ocean and Kubernetes.
    • We define a digitalocean.KubernetesCluster resource with a specific name, region, version, and node configuration.
    • We define a k8s.helm.v3.Chart resource to deploy the simple-redis Helm chart. The chart's configuration (like version, values, or repository) can be customized in the values and fetchOpts properties.
    • We create a Kubernetes provider (k8s.Provider) that uses the kubeconfig from the newly created Digital Ocean cluster. This provider is then passed to the Helm chart to ensure it's deployed on the right cluster.
    • Finally, we export the kubeconfig and the endpoint of the Digital Ocean Kubernetes cluster so you can interact with your cluster using tools like kubectl.

    Before running this program, ensure you have Pulumi installed and configured with the appropriate access tokens for Digital Ocean. Then you can invoke the Pulumi CLI to deploy this stack:

    pulumi up

    Once the deployment is successful, pulumi up will output the values for kubeconfig and clusterEndpoint, which you can use to interact with your Kubernetes cluster and check on your Redis deployment. Use the kubectl CLI tool with the exported kubeconfig to manage your Kubernetes resources:

    kubectl --kubeconfig=<path-to-generated-kubeconfig> get pods

    This will list the pods in your cluster, including those created by the simple-redis Helm chart.