Deploy the motioneye helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy the `motioneye` Helm chart on Google Kubernetes Engine (GKE) using Pulumi, you'll need to follow a few high-level steps:

1. **Create a GKE Cluster**: First, you'll have to create a Google Kubernetes Engine cluster where your Helm chart will be deployed.
2. **Install the Helm Chart**: After setting up the GKE cluster, you'll use Pulumi's Helm support to deploy the `motioneye` chart onto the cluster.

Here is a detailed Pulumi TypeScript program to accomplish the steps mentioned above:

1. Set up the GKE cluster.
2. Create a Kubernetes provider to interact with the GKE cluster.
3. Deploy the `motioneye` Helm chart using the Kubernetes provider.

Make sure you've set up your GCP credentials and have Pulumi installed and configured.

Now, let's look at the code:

```typescript
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as k8s from "@pulumi/kubernetes";

// Step 1: Create a GKE cluster.
const cluster = new gcp.container.Cluster("motioneye-cluster", {
    initialNodeCount: 1,
    minMasterVersion: "latest",
    nodeVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1", // You should choose a machine type suitable for your workload.
        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"
        ],
    },
});

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

// Step 3: Deploy the motioneye Helm chart onto the GKE cluster.
const motioneyeChart = new k8s.helm.v3.Chart("motioneye", {
    chart: "motioneye",
    fetchOpts:{
        repo: "https://helm-repo-url/", // Replace with the actual Helm repo URL where the motioneye chart is located.
    },
}, { provider: k8sProvider });

// Export the GKE cluster's name and kubeconfig.
export const clusterName = cluster.name;
export const kubeConfig = cluster.kubeConfigRaw;
```

Explanation of the resources used:

- **gcp.container.Cluster**: This Pulumi resource is used to create and manage a GKE cluster. The parameters like `initialNodeCount`, `minMasterVersion`, `nodeVersion`, and `nodeConfig` are used to define the size and characteristics of the cluster. The `machineType` and `oauthScopes` are part of the `nodeConfig`, specifying the type of machine to use for the cluster nodes and the set of OAuth scopes for the service accounts on the VM instances respectively.

- **k8s.Provider**: The Pulumi Kubernetes provider resource is utilized to authenticate and interact with the Kubernetes cluster. The `kubeconfig` property is set with `kubeConfigRaw` from the cluster which contains the necessary credentials to communicate with your GKE cluster.

- **k8s.helm.v3.Chart**: This resource represents a Helm chart, in this case `motioneye`. It is configured to fetch the chart from a specified Helm repository (you'll replace the `repo` property with the URL of the motioneye chart repository). By setting the `provider` option, we ensure that this Helm chart is deployed to the earlier created GKE cluster.

Assuming that your Pulumi stack is correctly configured and you have GCP credentials set up, running `pulumi up` with the above program will create the GKE cluster and deploy the motioneye Helm chart to it. Remember to replace the Helm repo URL in the `motioneyeChart` resource with the actual URL where the chart is located.

You can check the status of the GKE cluster and the deployed Helm chart through the Pulumi CLI, and after successful deployment, you can also use `kubectl` with the exported kubeconfig to interact with your Kubernetes cluster.