Deploy the tt-workflow helm chart on Google Kubernetes Engine (GKE)
TypeScriptTo deploy a Helm chart on Google Kubernetes Engine (GKE) using Pulumi, we'll need to follow these steps:
-
Set up a GKE Cluster: Before deploying any applications, we need a Kubernetes cluster. With Pulumi, we can define and configure a GKE cluster programmatically.
-
Install the Helm chart: Once we've set up our GKE cluster, we can deploy applications to it using Helm charts. Pulumi provides a resource type for Helm releases, allowing us to deploy Helm charts in a declarative manner.
Here's a detailed explanation and program to deploy the
tt-workflow
Helm chart on GKE using Pulumi with TypeScript:Step 1: Define the GKE Cluster
The
google-native.container/v1.Cluster
resource from thegoogle-native
package allows us to define a GKE cluster. We'll set up the cluster with the necessary properties such as the location, node configuration, and networking settings.Step 2: Deploy the Helm Chart
We'll use the
kubernetes.helm.sh/v3.Release
resource from thekubernetes
package to deploy thett-workflow
Helm chart. This resource will require us to specify the chart name, the repository where the chart is located, the namespace to deploy into, and any values we need to override in the Helm chart's default configuration.Below is the TypeScript program which carries out these steps:
import * as gcp from "@pulumi/gcp"; import * as pulumi from "@pulumi/pulumi"; import * as kubernetes from "@pulumi/kubernetes"; // Create a GKE cluster const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 3, nodeConfig: { machineType: "n1-standard-1", // Specify the machine type for the nodes }, }); // Export the Kubeconfig 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 `; }); // Deploy the Helm chart const helmRelease = new kubernetes.helm.v3.Release("tt-workflow-helm-chart", { chart: "tt-workflow", // Specify the repository if "tt-workflow" isn't a stable chart; // e.g., repository: "http://charts.example.com/", namespace: "default", // Which namespace to deploy into // values: { /* Any values to override */ } }, {provider: new kubernetes.Provider("gke-k8s", {kubeconfig})}); // Export the Helm Release status export const helmReleaseStatus = helmRelease.status;
This program performs the following actions:
- It initializes a new GKE cluster with a given name and node configuration. We're using
n1-standard-1
machines for the nodes. - It creates a
kubeconfig
which will help us interact with the GKE cluster usingkubectl
or other Kubernetes tools. - It deploys the
tt-workflow
Helm chart to thedefault
namespace in the GKE cluster. It assumes that the chart is available in a Helm repository that has already been added to your Helm client.
Important Notes:
- The actual installation of the Pulumi CLI, setup of the GKE cluster prerequisites (like creating a project and enabling the necessary APIs in Google Cloud), and configuration of
kubectl
are outside the scope of this code. - If the
tt-workflow
chart requires specific values, you will need to provide them in thevalues
field of theRelease
resource definition. - We're using the
google-native
provider for the GKE cluster and thekubernetes
provider for Helm. Ensure you have both Pulumi providers configured correctly. - Credentials management for GKE is handled via the
gcloud
CLI within the kubeconfig. Ensure thegcloud
CLI is properly configured with credentials on the machine executing Pulumi, or setkubeconfig
to point to an existingkubeconfig
file with access to the GKE cluster.
After running this program with Pulumi up, the
tt-workflow
Helm chart should be up and running in your GKE cluster.-