1. Deploy the openeo-web-editor helm chart on Digital Ocean Kubernetes Service

    TypeScript

    To accomplish your goal of deploying the openeo-web-editor Helm chart on the Digital Ocean Kubernetes Service using Pulumi, we'll perform several steps within our Pulumi program:

    1. Create a Kubernetes Cluster in Digital Ocean: We will use the digitalocean.KubernetesCluster resource to provision a new Kubernetes cluster where our application will reside.

    2. Install the Helm Chart: With the Kubernetes cluster in place, we will use the kubernetes.helm.v3.Release resource to deploy the openeo-web-editor Helm chart on our Digital Ocean Kubernetes cluster.

    Before proceeding with the deployment, ensure that you have the Digital Ocean provider and Kubernetes provider configured for Pulumi. The Pulumi CLI needs to be authenticated with Digital Ocean, and the kubeconfig file should be properly set up to communicate with your Digital Ocean Kubernetes cluster.

    Here's a detailed Pulumi TypeScript program that performs the deployment:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a Kubernetes cluster in Digital Ocean const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", // Choose the region that is suitable for you version: "latest", // Specify the desired Kubernetes version nodePool: { name: "worker-pool", size: "s-2vcpu-2gb", // Choose the size that is suitable for your workload and budget nodeCount: 2, // The number of nodes in the pool }, }); // Step 2: Deploy the openeo-web-editor Helm Chart const openeoWebEditorChart = new k8s.helm.v3.Release("openeo-web-editor", { chart: "openeo-web-editor", // You must find or have a Helm repository that hosts the openeo-web-editor chart repositoryOpts: { repo: "https://helm-repository-containing-openeo.org/charts", }, namespace: "openeo", // Specify the namespace where you want to install the chart // Values you want to override in the openeo-web-editor Helm chart can be specified in the `values` object. values: { // Add values you need to override here. For example: // image: { // repository: "image-repository", // tag: "image-tag" // }, // service: { // type: "LoadBalancer" // }, }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig })}); // Export the cluster's kubeconfig and the Helm chart status export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const openeoWebEditorStatus = openeoWebEditorChart.status;

    Explanation

    • We import the required libraries: @pulumi/pulumi for the core Pulumi programming model, @pulumi/digitalocean for creating resources in Digital Ocean, and @pulumi/kubernetes for working with Kubernetes resources, including Helm charts.

    • In the first step, we declare a Kubernetes cluster with a single node pool inside your desired region. You may configure the region, Kubernetes version, droplet size, and number of nodes according to your requirements.

    • In the second step, we deploy the openeo-web-editor Helm chart. Make sure to replace https://helm-repository-containing-openeo.org/charts with the actual Helm repository URL that hosts the openeo-web-editor chart. The values field allows you to override default configurations set by the Helm chart. You can specify custom Docker images, resource constraints, exposed ports among other settings.

    • The new k8s.Provider part configures the Kubernetes provider with the kubeconfig of the created Digital Ocean Kubernetes cluster. This step ensures that the Helm chart will be deployed to the right Kubernetes cluster.

    • Finally, we export the kubeconfig, which can be used to access your Kubernetes cluster with tools like kubectl, and the status of the Helm chart deployment. The output will be displayed after the Pulumi deployment process is complete.

    After reviewing the program and ensuring it fits your needs, run pulumi up to execute the program. Pulumi will perform the desired actions, and upon completion, it will provide output, including the kubeconfig and the status of the Helm chart deployment.