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


    To deploy the Sentry-Kubernetes Helm chart on Digital Ocean Kubernetes Service (DOKS), we will write a Pulumi program that performs the following:

    1. Provision a DigitalOcean Kubernetes cluster using the digitalocean.KubernetesCluster resource.
    2. Deploy the Sentry-Kubernetes Helm chart to the newly created DOKS cluster using the kubernetes.helm.v3.Chart resource.

    To achieve this, we use Pulumi with the DigitalOcean and Kubernetes providers. If you haven't already installed Pulumi and set up your DigitalOcean access token, you should do so before proceeding.

    Here's a detailed breakdown of the steps we are going to follow in our Pulumi TypeScript program:

    • Configure DigitalOcean as your cloud provider.
    • Create a Kubernetes cluster in a specific region with the desired number of nodes.
    • Install the Sentry-Kubernetes Helm chart on the cluster.

    Now, let's start with the Pulumi program. Make sure to install necessary dependencies using your package manager (e.g., npm or yarn). You will need to install the @pulumi/pulumi, @pulumi/digitalocean, and @pulumi/kubernetes packages.

    import * as pulumi from '@pulumi/pulumi'; import * as digitalocean from '@pulumi/digitalocean'; import * as kubernetes from '@pulumi/kubernetes'; // Step 1: Provision a DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster('do-cluster', { region: 'nyc3', version: 'latest', nodePool: { name: 'default', size: 's-1vcpu-2gb', nodeCount: 2, }, }); // Extract the Kubeconfig from the provisioned cluster const kubeconfig = cluster.kubeConfigs[0].rawConfig; // Step 2: Deploy the Sentry-Kubernetes Helm chart to the cluster const sentryChart = new kubernetes.helm.v3.Chart('sentry-kubernetes', { chart: 'sentry-kubernetes', // Replace with the exact chart name if different version: '11.6.0', // Replace with the desired chart version namespace: 'sentry', // The namespace where you want to install Sentry fetchOpts: { repo: 'https://sentry-kubernetes.github.io/charts', // The Helm repository URL }, }, { provider: new kubernetes.Provider('k8s-provider', { kubeconfig }) }); // Export the cluster endpoint to access your cluster export const kubeClusterEndpoint = cluster.endpoint; // Export instructions to access the Sentry web interface after deployment export const sentryAccessInstructions = pulumi.interpolate`Please setup your port forwarding to access Sentry UI: kubectl --kubeconfig=${kubeconfig} port-forward --namespace sentry <name-of-web-pod> 9000:9000 Visit http://localhost:9000 in your browser to access the Sentry UI.`;

    Here's a brief explanation of the code you just saw:

    • We are creating a new Kubernetes cluster in the nyc3 region using digitalocean.KubernetesCluster. We've designated a default node pool with the size s-1vcpu-2gb, which is a cost-effective option for small applications. However, you should select node size and count based on the expected workload of your Sentry instance.
    • We're then using kubeconfigs[0].rawConfig to retrieve the kubeconfig from our Kubernetes cluster, which we will use to configure the Kubernetes provider.
    • We create a new instance of the Helm chart for Sentry with the kubernetes.helm.v3.Chart resource. Make sure to replace the chart and version properties with the precise details of the Sentry helm chart you wish to deploy.
    • We export the endpoint of the Kubernetes cluster (kubeClusterEndpoint), which you can use to configure your kubectl CLI or any Kubernetes management tool.
    • We also provide sentryAccessInstructions that serve as a guide on how to forward a local port to the Sentry web interface pod. You should replace the <name-of-web-pod> with the actual pod name after Sentry is deployed to your cluster.

    To use this program:

    • Save it to a file with a .ts extension, for example, index.ts.
    • Run npm install or yarn add to install the dependencies listed at the top of the program.
    • Execute pulumi up to deploy your stack.

    Pulumi will provision the resources in the order specified, waiting for the Kubernetes cluster to be available before attempting to deploy the Sentry Helm chart. After the deployment is complete, Pulumi will print the exports we’ve defined, including the cluster endpoint and follow-up instructions.