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


    To deploy the helm-snowplow Helm chart on the Digital Ocean Kubernetes Service, you'll first need a Kubernetes cluster. We'll use Pulumi to create a Digital Ocean Kubernetes (DOKS) cluster and then deploy the Snowplow Helm chart to that cluster. Here's a step-by-step guide on how to do it:

    1. Create a Digital Ocean Kubernetes Cluster: The digitalocean.KubernetesCluster resource is used to provision a Kubernetes cluster on Digital Ocean. You'll define the cluster name, region, version, and other specifics like node pool configuration.

    2. Install the Helm Chart: Once the cluster is provisioned, you use the kubernetes.helm.v3.Chart resource to specify the Helm chart that you want to deploy, which in this case is helm-snowplow. Pulumi works with existing Helm charts, and you can provide any values required by the chart through the values property.

    Below is a Pulumi program written in TypeScript that accomplishes these steps:

    import * as pulumi from '@pulumi/pulumi'; import * as digitalocean from '@pulumi/digitalocean'; import * as kubernetes from '@pulumi/kubernetes'; // Step 1: Provision a Digital Ocean Kubernetes Cluster. const cluster = new digitalocean.KubernetesCluster('do-cluster', { // Specify the region where your cluster will be created. region: 'nyc3', // Specify the version of Kubernetes you'd like to use. version: '1.21.5-do.0', // Define the node pool for the cluster. nodePool: { name: 'do-pool', size: 's-2vcpu-2gb', nodeCount: 2, // The number of nodes in the pool. }, }); // Once the Kubernetes cluster is up, you'll need to configure kubectl to communicate with it. // Pulumi automatically generates kubeconfig files for clusters. const kubeconfig = cluster.kubeConfigs[0].rawConfig.apply(c => JSON.stringify(c)); // Step 2: Deploy the Snowplow Helm chart to the cluster using the Pulumi Kubernetes provider. const helmChart = new kubernetes.helm.v3.Chart('helm-snowplow', { // Set the Pulumi Kubernetes provider to point at the newly created cluster. fetchOpts: { repo: 'https://helm.snowplowanalytics.com' }, // The name of the chart you want to deploy. chart: 'snowplow', // Passing in the kubeconfig generated from the Digital Ocean Kubernetes Cluster resource. values: { // You would define any additional configuration values required or desired for your // Snowplow deployment here. Below you can find an example configuration value for // setting up a Postgres database (replace with your actual values). postgresql: { enabled: true, postgresqlUsername: 'postgres', postgresqlPassword: 'your-db-password', postgresqlDatabase: 'snowplow', }, }, }, { provider: new kubernetes.Provider('k8s-provider', { kubeconfig }) }); // Export the cluster's kubeconfig and the Helm chart deployment status. export const kubeconfigOutput = kubeconfig; export const helmChartStatus = helmChart.status;

    This program performs the following:

    • Provisions a new Digital Ocean Kubernetes cluster with a specified node size and count.
    • Deploys the helm-snowplow Helm chart to the cluster.

    Make sure to replace the postgresql values with your actual configuration for Snowplow to connect to the database.

    To run this program, save the code to a file with a .ts extension, for example, deploy-snowplow.ts. Then, you can use Pulumi CLI commands to create a new stack (pulumi stack init), set the Digital Ocean token (pulumi config set digitalocean:accessToken <YOUR_TOKEN>), review the deployment plan (pulumi preview), and finally deploy it (pulumi up). Ensure you have Pulumi and the required dependencies installed before running these commands.

    After running pulumi up, the output will include the kubeconfig necessary to access your Digital Ocean Kubernetes cluster, and you can use that with kubectl or any Kubernetes management tool of your choice to interact with your cluster.