1. Deploy the sentry-kubernetes helm chart on Linode Kubernetes Engine

    TypeScript

    To deploy the sentry-kubernetes Helm chart on Linode Kubernetes Engine using Pulumi, we should perform several steps. First, you will need to provision a Kubernetes cluster on Linode. After the cluster is provisioned, you can use Pulumi's Kubernetes provider to deploy the Helm chart onto the cluster.

    In this Pulumi TypeScript program, I'll guide you through the necessary steps:

    1. Setting up the Linode provider: to interact with Linode and create a Kubernetes cluster.
    2. Creating a Kubernetes cluster: using Linode's managed Kubernetes offering, the Linode Kubernetes Engine (LKE).
    3. Deploying the Helm chart: using Pulumi's Kubernetes provider to deploy sentry-kubernetes onto the LKE cluster.

    Here's a complete program that accomplishes these steps:

    import * as linode from "@pulumi/linode"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision Linode Kubernetes Engine cluster const cluster = new linode.LkeCluster("sentry-cluster", { k8sVersion: "1.20", // Replace with the latest supported version in LKE region: "us-central", // Choose a region that suits you nodePools: { label: "sentry-pool", count: 3, // Number of nodes in the pool type: "g6-standard-2", // Instance type for the nodes; select as per requirement }, }); // Step 2: Setup the Kubernetes provider using the generated kubeconfig from Linode const kubeconfig = cluster.kubeconfig.apply(JSON.stringify); const k8sProvider = new k8s.Provider("sentry-k8s-provider", { kubeconfig: kubeconfig, }); // Step 3: Deploy Sentry Helm chart on the provisioned cluster const sentryChart = new k8s.helm.v3.Chart("sentry-kubernetes", { repo: "sentry", // Ensure that the repository details are correct chart: "sentry", // Use the correct Helm chart name version: "11.4.0", // Use the appropriate chart version // Specify any custom values - refer to the sentry-kubernetes documentation for the values values: { // Example values; adjust them as per the actual chart requirements ingress: { enabled: true, hostname: "sentry.example.com", }, // More configuration values to setup Sentry as necessary }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig and Sentry ingress endpoint export const kubeconfigOutput = kubeconfig; export const sentryIngress = sentryChart.getResourceProperty("v1/Service", "sentry-web", "status").apply(s => s.loadBalancer.ingress[0].hostname);

    Explanation

    • Linode Kubernetes Cluster: A Kubernetes cluster is created on the Linode platform using the linode.LkeCluster resource. You must specify the desired Kubernetes version, the region for your cluster, and the details of your node pool, including the number of nodes and the type of nodes.

    • Kubernetes Provider: A Kubernetes provider is then instantiated with the kubeconfig of the created LKE cluster. This provider will be used for deploying Helm charts to the cluster.

    • Helm Chart Deployment: Using the k8s.helm.v3.Chart resource, the sentry-kubernetes Helm chart is deployed onto the cluster. This is where you specify the Helm chart's repository, name, version, and any custom configurations through the values property.

    By running this program with Pulumi, it will automatically handle the provisioning of the resources and output the necessary information such as the cluster's kubeconfig and the ingress endpoint for Sentry.

    Next Steps

    To run this Pulumi program:

    1. Ensure you have the Pulumi CLI installed and configured for TypeScript.
    2. Save the code to a file named index.ts.
    3. Run pulumi stack init to create a stack.
    4. Set the required Linode API credentials as environment variables or through Pulumi config secrets.
    5. Run pulumi up to preview and deploy the changes.

    Following these steps will create a new Kubernetes cluster in Linode and deploy Sentry onto it using Helm. Make sure to replace placeholders like the Sentry chart version with the actual data according to the chart you wish to deploy as well as the Linode node type and count as per your resource requirements.