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

    TypeScript

    Deploying a Helm chart on a Kubernetes cluster typically involves a few high-level steps:

    1. Provisioning the Kubernetes cluster on your cloud provider,
    2. Configuring kubectl to communicate with the cluster,
    3. Installing Helm on your local machine and setting up the Helm client, and
    4. Deploying the Helm chart to the cluster.

    Below is a detailed guide and corresponding Pulumi TypeScript program that uses DigitalOcean as the cloud provider to accomplish these steps:

    Provisioning the DigitalOcean Kubernetes (DOKS) Cluster

    Firstly, you'll need a Kubernetes cluster where your Quay application will reside. Pulumi's DigitalOcean package provides a KubernetesCluster resource that makes it straightforward to provision a new cluster.

    Configuring kubeconfig

    Once the cluster is provisioned, you need the kubeconfig file to communicate with the Kubernetes API. Pulumi can generate this configuration so you can use kubectl to interact with your cluster.

    Helm Chart Deployment

    With Kubernetes set up, you'll install the Quay Helm chart. Pulumi's Kubernetes provider offers the Chart resource, which represents a Helm chart. You specify the chart name, version, and any custom values required for the deployment.

    Now let's begin the Pulumi program with these steps in TypeScript:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision a new DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster("quay-cluster", { region: digitalocean.Regions.NYC1, // Select your region version: "1.21.5-do.0", // Specify the Kubernetes version nodePool: { name: "default", size: digitalocean.DropletSlugs.DropletS2VCPU2GB, // Choose the size of the node nodeCount: 2, // Number of nodes }, }); // Step 2: Use a KubeConfig to communicate with the cluster // We define it after the cluster creation to be sure it was created export const kubeConfig = cluster.kubeConfigs[0].rawConfig; // Step 3: Setup the Kubernetes provider const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeConfig, }); // Step 4: Deploy Quay Helm chart using Pulumi's Kubernetes provider const quayChart = new k8s.helm.v3.Chart("quay", { chart: "quay", version: "3.3.0", // Specify the chart version you wish to deploy fetchOpts:{ repo: "https://quay.github.io/charts/", // Helm chart repository URL for Quay }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig and Quay service endpoint export const quayClusterKubeConfig = cluster.kubeConfigs[0].rawConfig; export const quayServiceEndpoint = pulumi.interpolate`http://${quayChart.getResourceProperty("v1/Service", "quay-quay", "status").apply(status => status.loadBalancer.ingress[0].ip)}`;

    In this program:

    • We create a DigitalOcean Kubernetes cluster with the new digitalocean.KubernetesCluster resource.
    • After the cluster is created, we export the kubeConfig, which is necessary for configuring kubectl and the Pulumi Kubernetes provider.
    • Next, we initialize the Pulumi Kubernetes provider with this kubeconfig.
    • Using the Kubernetes provider, we deploy the Quay Helm chart to your Kubernetes cluster.
    • Finally, we export the Kubernetes cluster configuration and the Quay service endpoint for external access.

    After running this program with Pulumi (assuming you have set up your Pulumi stack and DigitalOcean token), you'll have a running instance of Quay on your DOKS cluster. You can find more details about the resources used in the Pulumi documentation for DigitalOcean KubernetesCluster and Kubernetes Helm Chart.

    To run this Pulumi program, save the code in a file called index.ts, ensure you've installed Pulumi and run pulumi up in the same directory. Pulumi will perform the deployment and output the endpoints upon completion.


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