1. Deploy the v3-backend helm chart on Digital Ocean Kubernetes Service


    To deploy a Helm chart to a Kubernetes cluster on Digital Ocean, we'd typically follow these steps:

    1. Create a Kubernetes Cluster: First, set up the DigitalOcean Kubernetes Service using the digitalocean.KubernetesCluster resource.
    2. Configure Kubernetes Provider: After the cluster creation, configure the Kubernetes provider to point to the newly created cluster.
    3. Deploy a Helm Chart: Finally, use the kubernetes.helm.v3.Chart resource to deploy the Helm chart to the cluster.

    Below is a TypeScript program that illustrates how to do this using Pulumi:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a DigitalOcean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("v3-backend-cluster", { region: digitalocean.Regions.NYC1, version: "latest", // Use the latest version available for the Kubernetes cluster nodePool: { name: "v3-backend-worker-pool", size: digitalocean.DropletSlugs.DropletS1VCPU2GB, nodeCount: 2, // Specify the number of worker nodes }, }); // Step 2: Configure the Kubernetes provider to use the kubeconfig from the created cluster const k8sProvider = new k8s.Provider("v3-backend-k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Step 3: Deploy the Helm chart on the DigitalOcean Kubernetes cluster const helmChart = new k8s.helm.v3.Chart("v3-backend-chart", { chart: "v3-backend", version: "1.0.0", // Replace with the desired version of your Helm chart // Add any required configuration values for the Helm chart here values: { // Example configuration: // replicaCount: 2, // image: { // repository: "your_image_repository", // tag: "your_image_tag", // }, }, }, { provider: k8sProvider }); // Export the public IP address of the load balancer, if applicable // This assumes your Helm chart creates a service of type LoadBalancer // that exposes the application to the internet const frontendService = helmChart.getResource("v1/Service", "v3-backend", "v3-backend-service"); export const frontendIp = frontendService.status.apply(status => status.loadBalancer?.ingress[0].ip);

    Let's break down what the code does:

    • Creating the Kubernetes Cluster:

      • We define a DigitalOcean Kubernetes cluster resource with a specified region and version.
      • We use the node pool configuration to specify the size of the droplet and the number of nodes for our worker pool.
    • Configuring the Kubernetes Provider:

      • Using the kubeconfig that the DigitalOcean cluster resource provides, we set up the Kubernetes provider.
      • This step is crucial because it allows our Pulumi program to interact with the newly created Kubernetes cluster.
    • Deploying the Helm Chart:

      • We define a Helm chart resource pointing to our v3-backend Helm chart.
      • We specify the version of the Helm chart and provide any required configuration values through the values argument.
    • Exporting the Service IP (Optional):

      • If your Helm chart includes a Kubernetes Service of type LoadBalancer, the program tries to fetch and export the public IP address exposed by this service.
      • The public IP address can then be used to access your application.

    Finally, the cluster's external IP address (assuming the Helm chart exposes one) is exported as a stack output, which can be accessed once the deployment is complete. This step presupposes that your Helm chart creates a service that is exposed via a LoadBalancer. If your service type is different, such as ClusterIP or NodePort, you'll need to handle external exposure accordingly and modify the export statement.

    Keep in mind that you should replace placeholders (your_image_repository, your_image_tag, the Helm chart version, etc.) with actual values corresponding to your Helm chart.

    To run this Pulumi program, save it to a file named index.ts, and ensure you have Pulumi installed along with the necessary provider plugins (@pulumi/digitalocean and @pulumi/kubernetes). You'll also need to have access to DigitalOcean API credentials configured for Pulumi to create and manage resources in your DigitalOcean account.

    Run the command pulumi up in the same directory as your saved TypeScript file to preview and deploy your infrastructure. Pulumi will execute the plan and, after confirmation, provision the Kubernetes cluster and deploy your v3-backend Helm chart.