1. Deploy the redis-setup helm chart on Google Kubernetes Engine (GKE)

    TypeScript

    To deploy the redis-setup Helm chart on Google Kubernetes Engine (GKE), you will first need to create a GKE cluster, and then use the Pulumi Helm resource to deploy the chart onto that cluster. We will use the gcp.container.Cluster resource to create the cluster and the harness.service.Helm resource (from the Harness provider) to deploy the Helm chart.

    First, let's break down the steps:

    1. Create the GKE Cluster: Using the gcp.container.Cluster resource, we will create a new GKE cluster. You need to specify details such as the name, location, and node configuration of your GKE cluster.

    2. Deploy the Helm Chart: With the cluster in place, we will use Pulumi's Helm resource provided by the Harness provider to deploy the Redis chart from the public Helm chart repository.

    Below is a complete TypeScript program that uses Pulumi for deploying a Redis Helm chart to a GKE cluster. Ensure you have Pulumi installed, as well as the GCP SDK and configured credentials to enable Pulumi to communicate with your GCP account.

    import * as pulumi from '@pulumi/pulumi'; import * as gcp from '@pulumi/gcp'; import * as k8s from '@pulumi/kubernetes'; import * as harness from '@pulumi/harness'; // Create a GKE cluster const gkeCluster = new gcp.container.Cluster('redis-gke-cluster', { initialNodeCount: 2, minMasterVersion: 'latest', // Replace with a specific version if required nodeConfig: { // You can change the machine type based on your requirements machineType: 'n1-standard-1', oauthScopes: [ 'https://www.googleapis.com/auth/cloud-platform' ], }, }); // Export the Kubeconfig export const kubeconfig = pulumi. all([gkeCluster.name, gkeCluster.endpoint, gkeCluster.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 a Kubernetes Provider instance with the kubeconfig const k8sProvider = new k8s.Provider('k8s-provider', { kubeconfig: kubeconfig, }); // Deploy the redis-setup Helm chart using the Pulumi Harness Helm resource const redisChart = new harness.service.Helm('redis-setup', { // Replace with your actual app ID and name or config appId: '<YOUR-APP-ID>', name: 'redis-setup', // The chart can be any Helm chart compatible with the Helm v3, // Here, you might want to specify the correct chart version and repository chart: 'redis', version: '10.5.7', // This should be the version of chart that you want to deploy // You may need to add additional configuration parameters according to the chart's needs values: { // Values for the redis Helm chart // This is just an example, and these values should be adjusted for your needs usePassword: false, cluster: { enabled: true, slaveCount: 1, }, }, // Ensure that the Helm deployment uses the GKE K8s Provider provider: k8sProvider, }, { dependsOn: [gkeCluster] }); // Export the Redis service endpoint export const redisEndpoint = redisChart.getResourceProperty('v1/Service', 'redis-master', 'status') .apply(status => status.loadBalancer.ingress[0].ip);

    This program does the following:

    • Defines a new GKE cluster resource with the name redis-gke-cluster.
    • Sets up the GKE cluster with an initial node count.
    • Exports the kubeconfig necessary to interact with the cluster.
    • Creates a Kubernetes provider using the exported kubeconfig.
    • Deploys the redis-setup Helm chart to the GKE cluster using the Harness provider.

    Please replace <YOUR-APP-ID> with your actual application ID given by Harness, and update any other configuration you need according to your use case.

    In this example, I have set usePassword to false and enabled Redis clustering with slaveCount set to 1. You should review and adjust these values based on the requirements of your Redis deployment.

    To run this program, save it to a index.ts file and run pulumi up. This will provision the resources described above.

    Remember to replace placeholders and adjust the configuration values to match your requirements. The Helm chart version and values may differ based on the version of the chart you want to deploy.

    Don't forget to follow best practices for managing secrets and sensitive data when structuring your Pulumi programs. In production scenarios, you may want to leverage Pulumi's built-in secret management or integrate with your existing secret management system.


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