1. Deploy the tt-workflow helm chart on Digital Ocean Kubernetes Service

    TypeScript

    To accomplish the deployment of the tt-workflow Helm chart on the Digital Ocean Kubernetes Service (DOKS), we'll break down the necessary steps.

    First, we need to provision a Kubernetes cluster on Digital Ocean. We'll use the digitalocean.KubernetesCluster resource for this purpose. This resource allows us to create and manage a Kubernetes cluster within Digital Ocean's cloud environment.

    Once we have our Kubernetes cluster set up, we'll install the Helm chart by using the kubernetes.helm.sh/v3.Chart resource. This resource represents a Helm chart deployment within a Kubernetes cluster, allowing us to manage Helm releases as Pulumi resources.

    Here are the key resources we'll be using from Pulumi's TypeScript SDK:

    1. DigitalOcean KubernetesCluster: Responsible for provisioning the Kubernetes cluster within Digital Ocean.

    2. Kubernetes Helm Chart: Manages the Helm chart deployment on the Kubernetes cluster.

    Below is a detailed program written in TypeScript that describes and demonstrates these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a Digital Ocean Kubernetes Cluster (DOKS) const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: digitalocean.Regions.NYC3, // Example region, choose one that fits your needs version: "latest", // Use the latest available version of Kubernetes nodePool: { name: "default-pool", // The name of the node pool size: "s-2vcpu-2gb", // The size of the Droplets (Virtual Machines) in the node pool nodeCount: 2, // The number of Droplet instances in the node pool }, }); // Step 2: Deploy the Helm chart 'tt-workflow' into the DOKS cluster const helmChart = new k8s.helm.sh.v3.Chart("tt-workflow-chart", { chart: "tt-workflow", // The name of the Helm chart version: "0.1.0", // Specify the version of the chart you want to deploy namespace: "default", // Target namespace for the Helm chart // You can specify additional chart values like this: // values: { // key: "value", // ... // }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig }) }); // Export the cluster's kubeconfig and the name of the Helm release export const kubeConfig = cluster.kubeConfigs[0].rawConfig; export const helmReleaseName = helmChart.metadata.apply(metadata => metadata.name);

    This program will execute the following:

    1. Declare dependencies for Pulumi, the Digital Ocean provider, and the Kubernetes provider.
    2. Create a new Kubernetes cluster in Digital Ocean by defining a KubernetesCluster instance (region, cluster version, and node pool size are specified).
    3. Set up a provider for Kubernetes that utilizes the kubeconfig from the newly created Digital Ocean Kubernetes cluster.
    4. Deploy the tt-workflow Helm chart by creating a Chart instance and providing the previously set Kubernetes provider to manage the lifecycle of the Helm chart within the cluster.
    5. Export the kubeconfig for the Digital Ocean Kubernetes cluster and the name of the deployed Helm release for easy access and management.

    Remember to replace the chart and version fields of the helmChart resource with the appropriate Helm chart name and version you want to deploy. If there are additional configuration values you would like to set for your Helm chart, you can do so within the values field of the Chart resource.

    When you run this program with Pulumi CLI, Pulumi will call into Digital Ocean to provision the necessary infrastructure and then use that infrastructure to deploy the specified Helm chart. Make sure you have the required credentials set up for Digital Ocean and Kubernetes in your environment for Pulumi to authenticate correctly.


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