1. Deploy the kubecost helm chart on Digital Ocean Kubernetes Service

    TypeScript

    To deploy the Kubecost Helm chart on Digital Ocean Kubernetes Service using Pulumi, we will perform the following steps:

    1. Set up a Digital Ocean Kubernetes (DOKS) Cluster: We need to have a Kubernetes cluster running on Digital Ocean to install the Kubecost Helm chart. We'll use Pulumi to provision the DOKS cluster.

    2. Deploy the Kubecost Helm Chart: Once the cluster is up and running, we'll deploy the Kubecost Helm chart into it. Pulumi's integration with Kubernetes and Helm will allow us to declaratively define and apply the Helm chart.

    Here's a Pulumi program written in TypeScript that accomplishes this:

    import * as pulumi from '@pulumi/pulumi'; import * as digitalocean from '@pulumi/digitalocean'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Create a new DigitalOcean Kubernetes cluster. const cluster = new digitalocean.KubernetesCluster('do-cluster', { region: digitalocean.Regions.NYC3, version: 'latest', // Set to the latest stable version of Kubernetes for the DOKS. nodePool: { name: 'default', size: digitalocean.DropletSlugs.DropletS2VCPU2GB, nodeCount: 2, // Adjust the node count as per your requirements. }, }); // Step 2: Deploy the Kubecost Helm chart on the DigitalOcean Kubernetes cluster. // Define the provider to interact with the newly created cluster. const k8sProvider = new k8s.Provider('do-k8s', { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy Kubecost Helm chart using Pulumi's Kubernetes provider. const kubecostChart = new k8s.helm.v3.Chart('kubecost', { chart: 'cost-analyzer', version: '1.87.0', // Use the appropriate chart version. namespace: 'kubecost', // The namespace for deploying the Kubecost Helm chart. fetchOpts: { repo: 'https://kubecost.github.io/cost-analyzer/', // Kubecost Helm repository. }, }, { provider: k8sProvider }); // Export the cluster name and the Kubecost endpoint. export const clusterName = cluster.name; export const kubecostEndpoint = pulumi.interpolate`http://${kubecostChart.getResourceProperty( 'v1/Service', 'kubecost-cost-analyzer', 'status' )}.loadBalancer.ingress[0].ip`;

    Explanation

    • Digital Ocean Kubernetes Cluster: The program starts by creating a Kubernetes cluster using the @pulumi/digitalocean package. The region is set to NYC3, but you can choose whatever region is appropriate. The version is set to 'latest', and it provisions a small size cluster with 2 nodes using the DropletSlugs.DropletS2VCPU2GB slug, which corresponds to a droplet with 2 vCPUs and 2GB of RAM.

    • Kubernetes Provider: After the cluster is created, a Pulumi Kubernetes provider is instantiated, which is configured to interact with the new Digital Ocean Kubernetes cluster by using the kubeconfig provided by the Digital Ocean cluster resource.

    • Helm Chart for Kubecost: We then define a Chart resource from the @pulumi/kubernetes package, which represents the Kubecost Helm chart. We specify the chart name (cost-analyzer) and the version, as well as the Kubernetes namespace to deploy the chart to (kubecost). The fetchOpts.repo field contains the URL to the Kubecost Helm repository, which allows Pulumi to fetch and deploy the chart. The { provider: k8sProvider } argument ensures that this Helm chart is deployed to the Kubernetes cluster managed by the specified provider.

    • Outputs: Finally, we export the cluster name and the endpoint where Kubecost will be accessible. The kubecostEndpoint is an interpolated string that retrieves the IP address assigned to the Kubecost service by Digital Ocean's LoadBalancer.

    When you run this Pulumi program, it will automatically handle the provisioning of the Digital Ocean Kubernetes cluster and the deployment of the Kubecost Helm chart. You can then manage your Kubernetes costs using Kubecost's tools and interfaces.