1. Deploy the schema-registry-ui helm chart on Google Kubernetes Engine (GKE)


    To deploy the schema-registry-ui Helm chart on Google Kubernetes Engine (GKE), you would need to take the following steps:

    1. Set up a GKE Cluster: First, you will need a running GKE cluster. If you don't have a cluster already, you would need to create one.

    2. Install the Helm Chart: Once you have your Kubernetes cluster, you can use Pulumi's Kubernetes provider to deploy the Helm chart for schema-registry-ui.

    Below is a Pulumi TypeScript program that demonstrates how you can create a GKE cluster and deploy the schema-registry-ui Helm chart on it. This program uses @pulumi/gcp to create the GKE cluster and @pulumi/kubernetes to deploy the Helm chart.

    Make sure you have Pulumi installed and configured with your Google Cloud credentials. You will also need to have kubectl configured to interact with your GKE cluster.

    Here's the Pulumi program in TypeScript:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring" ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the Kubeconfig to access the Cluster export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); // Create the Kubernetes provider using the generated kubeconfig const k8sProvider = new k8s.Provider("gkeK8s", { kubeconfig: kubeconfig, }); // Deploy the schema-registry-ui helm chart const schemaRegistryUi = new k8s.helm.v3.Chart("schema-registry-ui", { chart: "schema-registry-ui", version: "1.0.0", // Specify the chart version you want to deploy fetchOpts:{ repo: "https://helm repo where schema-registry-ui is located", }, // Specify the values or parameters for the Helm chart values: { /* Add any specific values here */ }, }, { provider: k8sProvider }); // Export the schema-registry-ui service endpoint export const schemaRegistryUiEndpoint = schemaRegistryUi.getResourceProperty("v1/Service", "schema-registry-ui", "status") .apply(status => status.loadBalancer.ingress[0].ip);

    Here's what each part of the program does:

    • The gcp.container.Cluster resource creates a new GKE cluster with the specified configuration.
    • The kubeconfig is a computed string that will allow us to interact with the GKE cluster using kubectl.
    • The k8s.Provider resource is used to initialize the Kubernetes provider with the kubeconfig from the GKE cluster we created.
    • The k8s.helm.v3.Chart resource is used to deploy the schema-registry-ui Helm chart. In the version field, you should specify the version number of the Helm chart that you want to use, and in the repo field, you would need to specify the URL of the Helm repository where schema-registry-ui is hosted.
    • If you have specific values or configurations for the Helm chart, you can provide them in the values object. These could include things like the port number that schema-registry-ui should use or any other configuration specific to your setup.

    To deploy this Pulumi program, save it to a file called index.ts, then you can run pulumi up to create the resources. After the command completes, Pulumi will output the endpoint of the schema-registry-ui service.

    Remember to provide the actual Helm chart repository URL in the repo field where the schema-registry-ui chart is located.

    Please ensure you check the Helm chart documentation for schema-registry-ui for any specific configurations you may need to add.