Deploy the teleport-plugin-pagerduty helm chart on Google Kubernetes Engine (GKE)

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Pulumi · Accepted Answer

To deploy the `teleport-plugin-pagerduty` Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you need to follow these steps:

1. Set up a GKE cluster, if you don't already have one.
2. Configure Pulumi to use the GCP provider.
3. Create a new Pulumi project and stack for your GKE resources if needed.
4. Install the Pulumi Kubernetes provider.
5. Use the Kubernetes provider to deploy the Helm chart to your GKE cluster.

Below is a Pulumi program written in TypeScript that demonstrates how to do this. The program assumes you have already configured Pulumi with credentials to access Google Cloud and that you've set up a Google Cloud project. First, I will guide you through the different parts and resources being used in the program.

- **GKE Cluster**: We're creating a new GKE cluster using the `google-native.container.v1beta1.Cluster` resource type which wraps the GKE API directly. You can adjust the cluster size, region, and other parameters as needed for your use case.
- **Kubernetes Provider**: The `kubernetes.Provider` resource is used to interact with the Kubernetes cluster. It relies on the kubeconfig file that's generated when the GKE cluster is created.
- **Helm Release**: The `kubernetes.helm.v3.Release` resource deploys the Helm chart to the Kubernetes cluster designated by the kubernetes provider. Make sure to specify the correct chart name and repository URL.

Now, let's proceed with the detailed code, which includes the deployment of a basic GKE cluster, and then installing the `teleport-plugin-pagerduty` Helm chart on it.

```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("gke-cluster", {
    initialNodeCount: 2,
    minMasterVersion: "latest",
    nodeVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1", // Adjust the machine type according to your needs
        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 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
`;
    });

// Create a Kubernetes provider instance that uses our cluster from above.
const k8sProvider = new k8s.Provider("gke-k8s", {
    kubeconfig: kubeconfig,
});

// Deploy the teleport-plugin-pagerduty Helm chart using the Helm provider.
const teleportPagerdutyChart = new k8s.helm.v3.Release("teleport-plugin-pagerduty", {
    chart: "teleport-plugin-pagerduty",
    version: "0.1.0", // Use the correct chart version
    repositoryOpts: {
        repo: "http://example.com/helm-charts", // Replace with the correct Helm chart repository URL
    },
}, { provider: k8sProvider });

// Export the Helm release status
export const teleportReleaseStatus = teleportPagerdutyChart.status;
```

Here's what each part of the program does:

- We import the necessary Pulumi packages for interacting with GCP and Kubernetes.
- We define a GKE cluster with a basic configuration, specifying the initial node count and machine type for the nodes.
- We create a kubeconfig file so that the Kubernetes provider can interact with the new GKE cluster.
- We define a Kubernetes provider that uses the kubeconfig.
- We deploy the `teleport-plugin-pagerduty` Helm chart. Note that you need to replace the 'repositoryOpts.repo' value with the correct Helm repository containing the chart.
- We export the release status of the Helm chart to monitor its deployment status.

Remember to replace placeholder values like `http://example.com/helm-charts` with actual information specific to your deployment.

After you've created your Pulumi program, you can run it using the Pulumi CLI commands `pulumi up` to deploy your resources. This process will automatically handle the provisioning of your GKE cluster and the deployment of the Helm chart. If the chart requires additional configuration options, you'll need to specify these in the `values` object of the `Release` resource.

Once successfully deployed, you should be able to see the Teleport PagerDuty plugin running in your GKE cluster by checking the resources in the relevant namespace (which will be the default namespace unless specified otherwise).