Deploy the prometheus-webhook-dingtalk helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

Deploying the `prometheus-webhook-dingtalk` Helm chart on a Google Kubernetes Engine (GKE) cluster involves several steps. We'll start by provisioning a GKE cluster using Pulumi, and then we'll deploy the Helm chart to that cluster.

Before proceeding with the Pulumi code, here's an outline of what we'll do:

1. Set up a new GKE cluster using Pulumi with the `google-native.container/v1beta1.Cluster` resource.
2. Create a Kubernetes provider that targets the GKE cluster.
3. Use a `kubernetes.helm.sh/v3.Release` resource to deploy `prometheus-webhook-dingtalk` from its Helm chart.

Here's how you can do it step by step in TypeScript:

```typescript
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 gkeCluster = new gcp.container.Cluster("gke-cluster", {
    initialNodeCount: 3,
    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 = gkeCluster.name;

// Step 2: Create a Kubernetes Provider instance that uses our newly created GKE cluster credentials
const k8sProvider = new k8s.Provider("k8s-provider", {
    kubeconfig: gkeCluster.kubeConfigRaw,
});

// Step 3: Install the prometheus-webhook-dingtalk Helm chart
const prometheusWebhookDingtalkChart = new k8s.helm.v3.Release("prometheus-webhook-dingtalk", {
    chart: "prometheus-webhook-dingtalk",
    version: "1.4.0", // Replace with the actual chart version you wish to deploy
    repositoryOpts: {
        repo: "https://prometheus-community.github.io/helm-charts",
    },
    // You can specify additional Helm chart values here, for example:
    values: {
        // Replace these with the actual configuration values for dingtalk webhooks
        // or any other values you need to provide to the chart.
        // "settings": {
        //     "key1": "value1",
        //     "key2": "value2",
        // },
    },
}, { provider: k8sProvider });

// Export the release name
export const releaseName = prometheusWebhookDingtalkChart.name;
```

In the code above, we are:

- Creating a new instance of GKE using `@pulumi/gcp` with three nodes of type `n1-standard-1`. You can adjust the machine type and number of nodes according to your requirements.
- Exporting the name of the cluster to use it in client applications or CLI tools.
- Setting up a Kubernetes provider to interact with the created GKE cluster. This requires the `kubeConfigRaw` output from the GKE cluster, which contains all the necessary credentials.
- Deploying the `prometheus-webhook-dingtalk` Helm chart. For the Helm release, we specify the name of the chart and its version, as well as the repository from where the chart will be fetched. The `values` property is used to provide any additional custom configuration the chart requires. The chart's `values` need to be provided according to the chart's documentation and your specific needs. Right now, they are blank but you would fill them out based on the settings that `prometheus-webhook-dingtalk` requires.
- Exporting the name of the Helm release for reference.

This program expects that you have the Pulumi CLI and GCP configuration set up. You will need to run `pulumi up` to preview and deploy these resources to GCP. After confirming the preview, Pulumi will provision the GKE cluster and deploy the Helm chart to it.

Before running this, ensure you have the appropriate configurations for your Google Cloud Platform account and have the necessary permissions to create resources. The Pulumi CLI will walk you through the authentication process for GCP if you haven't already done so.