1. Deploy the tool-cradle helm chart on Digital Ocean Kubernetes Service


    To deploy the tool-cradle Helm chart on Digital Ocean Kubernetes Service using Pulumi, you will take the following steps:

    1. Set up a new Digital Ocean Kubernetes (DOKS) cluster or use an existing one.
    2. Deploy the tool-cradle Helm chart to the DOKS cluster.

    For step 1, we'll use the digitalocean.KubernetesCluster resource. You need to provide a name for the Kubernetes cluster, select a region where you'd like the cluster to be hosted, and specify the version of Kubernetes you want to use along with the details of the node pool. This node pool defines the size and the number of nodes for the Kubernetes cluster.

    Then, for step 2, we will deploy the Helm chart using the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes package. Assuming you have the Helm chart available in a remote repository, you’ll need to provide the chart name, repository URL, any custom values you want to override in the values property, and specify the namespace where you want this chart to be deployed.

    Here is a Pulumi program in TypeScript that follows these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision the DigitalOcean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", version: "1.21.5-do.0", // Specify the version you prefer nodePool: { name: "default", size: "s-1vcpu-2gb", // Choose the appropriate machine size nodeCount: 2, // Number of nodes in the node pool }, }); // Step 2: Deploy the "tool-cradle" Helm chart // Ensure you have the correct repository and chart name. // Initialize a Kubernetes provider with the kubeconfig from the DigitalOcean cluster const k8sProvider = new k8s.Provider("do-k8s", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); const toolCradleChart = new k8s.helm.v3.Chart("tool-cradle-chart", { chart: "tool-cradle", // Replace with the correct chart name repo: "https://charts.example.com/", // Replace with the chart's Helm repository URL version: "1.0.0", // Replace with the chart's version values: { // Custom values for the Helm chart. Replace with your overrides. // This example assumes there is a setting called "replicaCount" that specifies the number of replicas replicaCount: 2, }, namespace: "default", // Specify which namespace the chart should be deployed to }, { provider: k8sProvider }); // Export the cluster's name and kubeconfig export const clusterName = cluster.name; export const kubeconfig = cluster.kubeConfigs[0].rawConfig;

    Make sure to replace the placeholders like https://charts.example.com/ with the actual Helm repository URL and chart details. You should also update the values object with settings specific to the tool-cradle Helm chart.

    This program begins by importing the necessary Pulumi modules. It then creates a Digital Ocean Kubernetes cluster with the specified name, region, Kubernetes version, and node pool configuration.

    Next, we initialize the Kubernetes provider with the kubeconfig obtained from the newly provisioned Digital Ocean cluster. This allows subsequent resources, like the Helm chart, to be deployed to the right Kubernetes cluster.

    Following that, we create an instance of the Chart resource, which represents the Helm chart we want to deploy. We specify the chart's name, repository, and version, as well as any custom values for the chart. Finally, we export the cluster's name and Kubeconfig which can be used for accessing the Kubernetes cluster later on.

    Remember to configure your Pulumi credentials for Digital Ocean and any other authentication necessary to interact with the Helm repository. You would run this Pulumi program with commands like pulumi up to deploy the changes, pulumi preview to see the changes that will be made before applying them, and pulumi destroy to tear down the resources if needed.