1. Deploy the redis-observability helm chart on Digital Ocean Kubernetes Service


    To deploy the redis-observability Helm chart on a DigitalOcean Kubernetes Service, you'll need to use Pulumi's Kubernetes and DigitalOcean providers. The Kubernetes provider can deploy Helm charts, and the DigitalOcean provider can create a Kubernetes cluster.

    Here is how the deployment process broadly looks:

    1. Provision a DigitalOcean Kubernetes cluster: You create a Kubernetes cluster in your preferred region with the required node size and count.
    2. Install the Helm chart: Once you have your cluster, you can deploy the redis-observability Helm chart to the cluster.

    I'll provide you with a Pulumi program that does exactly this. This program assumes that you have Pulumi installed, have set up your Pulumi account, and have the necessary DigitalOcean API token set as environment variables or Pulumi configuration.

    Detailed Program Explanation

    Before diving into the code, let's clarify what each part does:

    • digitalocean.KubernetesCluster: This is a Pulumi resource that provisions a Kubernetes cluster on DigitalOcean. We'll specify parameters such as the region, the number of nodes, and the size of the nodes.

    • kubernetes.helm.v3.Chart: This is a Pulumi resource from the Kubernetes provider that is responsible for deploying a Helm chart to the Kubernetes cluster. We'll use it to deploy the redis-observability Helm chart.

    Now, let's move on to the Pulumi program written in TypeScript:

    import * as pulumi from '@pulumi/pulumi'; import * as digitalocean from '@pulumi/digitalocean'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Provision a DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster('do-cluster', { region: 'nyc1', // Choose the region that is closest to you or your users version: 'latest', // Specifies to use the latest available Kubernetes version nodePool: { size: 's-2vcpu-2gb', // This is the smallest size available, suitable for testing. name: 'default-pool', nodeCount: 2, // Number of nodes in the node pool }, }); // Step 2: Deploy the 'redis-observability' Helm chart to the cluster const redisObservabilityChart = new k8s.helm.v3.Chart('redis-observability', { chart: 'redis-observability', // Specify the Helm repository URL if the chart is not on a well-known repository fetchOpts: { repo: 'https://charts.bitnami.com/bitnami', }, // You can specify the namespace and other chart values by providing `values` argument. namespace: 'default', }, { 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 chartStatus = redisObservabilityChart.status;

    In the code above:

    • We first use digitalocean.KubernetesCluster to create a Kubernetes cluster in the New York City region (nyc1). We ask for 2 nodes of size s-2vcpu-2gb in the default node pool.

    • Next, we deploy the redis-observability Helm chart using k8s.helm.v3.Chart. We provide two main pieces of information: the chart name (redis-observability) and where it can fetch the chart (the Bitnami Helm repository in this case).

    • We specify a provider for our Helm chart, which is basically a way to tell Pulumi how to communicate with our newly created Kubernetes cluster. We obtain the kubeconfig from the cluster we created.

    • Finally, we export the kubeconfig, which you could use to access your Kubernetes cluster with tools such as kubectl or other Kubernetes management tools, and the status of the Helm chart deployment.

    Please ensure that your Pulumi stack is correctly configured with the necessary credentials for DigitalOcean, and that you've set your desired configuration values for the cluster size and location as needed.