Deploy the typo3scan helm chart on Google Kubernetes Engine (GKE)
TypeScriptTo deploy the
typo3scan
Helm chart on Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster and then use Pulumi's Helm Release resource to deploy the chart to that cluster. Below is a step-by-step guide and a corresponding Pulumi program written in TypeScript to accomplish this.Step 1: Set up a GKE Cluster
First, you need to create a GKE cluster. The
google-native.container/v1.Cluster
resource will be used to create the cluster in GKE. This cluster will be the Kubernetes environment where your Helm chart will be deployed.Step 2: Deploy the Helm Chart
Once the GKE cluster is up and running, you can deploy the
typo3scan
Helm chart using theharness.service.Helm
resource. The Helm release will require the name of the chart and, optionally, any overrides you wish to provide to the default chart values.Now, let's put that into a Pulumi program:
import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create a GKE cluster const cluster = new gcp.container.Cluster("typo3scan-cluster", { // Define required properties for the GKE cluster here // For brevity, just specifying the minimal configuration, you can specify more options as necessary initialNodeCount: 2, minMasterVersion: "latest", // replace with an exact version if required }); // Export the Cluster name and 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: ${masterAuth[0].clusterCaCertificate} server: https://${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`; }); const kubeProvider = new k8s.Provider("kubeProvider", { kubeconfig: kubeconfig, }); // Step 2: Deploy the typo3scan Helm chart to the GKE cluster const chart = new k8s.helm.v3.Chart("typo3scan-chart", { chart: "typo3scan", fetchOpts:{ repo: "http://helm-repository/url/", // Replace with typo3scan Helm chart repository URL }, // Specify the values.yaml configuration by using the 'values' property if needed }, { provider: kubeProvider }); // Export the Chart name export const chartName = chart.id;
This program does the following:
- It creates a GKE cluster with 2 nodes and the latest available version of Kubernetes.
- It exports the
kubeconfig
that is needed to communicate with your GKE cluster. - It sets up a Pulumi Kubernetes provider that uses the generated
kubeconfig
. - It deploys the
typo3scan
Helm chart to the GKE cluster using the Pulumi Kubernetes provider.
Now let’s go through the code and understand how to use these resources:
-
GKE Cluster: This is created using the
gcp.container.Cluster
class, where you need to define the properties of the cluster such as the number of nodes, Kubernetes version, etc. -
Kubeconfig: This is essential for Pulumi to interact with your Kubernetes cluster. The
kubeconfig
is generated using the details of the created GKE cluster and is later used to configure the Kubernetes provider for Pulumi. -
Helm Chart: This is created using the
k8s.helm.v3.Chart
class. You need to provide the name of the chart and optionally you could include the repository iftypo3scan
is in a custom Helm repository. You may also specify thevalues
property to override the default chart values.
Make sure you replace
http://helm-repository/url/
with the actual repository URL hosting thetypo3scan
chart.Remember that to execute this Pulumi program you'll need to have Pulumi installed, along with the necessary GCP and Kubernetes Pulumi packages. You will also need to have
gcloud
installed and authorized to access your GCP account since the kubeconfig relies ongcloud
to generate access tokens.Once the program is executed successfully, your GKE cluster will be up and running with the
typo3scan
Helm chart deployed. You can verify the deployment usingkubectl
or by checking the resources in your GCP console.