Deploy the python-fastapi-postgres helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy the `python-fastapi-postgres` Helm chart on Google Kubernetes Engine (GKE), we'll follow several steps. These steps include creating a GKE cluster, and then deploying the Helm chart to this cluster. We will use Pulumi to define our infrastructure as code in TypeScript.

Here's a step-by-step guide along with a Pulumi TypeScript program to achieve this deployment:

### Step 1: Setup Pulumi and Import Dependencies
Firstly, ensure you have Pulumi installed and configured to use your Google Cloud account. Then, create a new Pulumi project in TypeScript.

Within your project, you'll need to install the required Pulumi packages for GCP and Kubernetes:

```sh
npm install @pulumi/gcp @pulumi/kubernetes
```

### Step 2: Create a GKE Cluster
Define a GKE cluster resource within your Pulumi program. This cluster will be the foundation where our Helm chart is deployed.

### Step 3: Deploy the Helm Chart
Once the GKE cluster is up and running, we create a Kubernetes provider instance that knows how to communicate with the GKE cluster. With this provider, we deploy our `python-fastapi-postgres` Helm chart.

Below is the TypeScript code for these steps. Remember to replace any placeholder values with the actual values relevant to your environment.

```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("gke-cluster", {
    initialNodeCount: 2,
    nodeVersion: "latest",
    minMasterVersion: "latest",
    nodeConfig: {
        preemptible: true,
        machineType: "n1-standard-1",
        oauthScopes: [
            "https://www.googleapis.com/auth/cloud-platform",
            "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 = cluster.name;

// Step 2: Use the GKE cluster as the Kubernetes provider for Pulumi
const k8sProvider = new k8s.Provider("gke-k8s", {
    kubeconfig: cluster.kubeConfigRaw,
});

// Step 3: Deploy the python-fastapi-postgres helm chart using the GKE cluster provider
const helmChart = new k8s.helm.v3.Chart("fastapi-chart", {
    chart: "python-fastapi-postgres",
    // The repository where the chart can be found.
    // This value should point to where your specific chart is located.
    // If it's a public repository, specify the URL. If not, set up the
    // repository URL that points to where you store your Helm charts.
    fetchOpts: {
        repo: "http://your-helm-chart-repository-url/",
    },
    // The values here depend on the Helm chart and what values you want to override.
    // Consult the chart's 'values.yaml' for the structure and options you can set.
    values: {
        // Placeholder values, replace with actual values for the Helm chart deployment
        api: {
            image: "your-fastapi-image",
            tag: "latest",
        },
        postgres: {
            password: "yourpassword",
            persistence: {
                size: "10Gi",
            },
        },
    },
}, { provider: k8sProvider });

// Export the Helm chart resources
export const helmResources = helmChart.resources;
```

The above program does the following:

1. It defines a GKE cluster with a specified number of nodes and machine type.
2. It creates a Kubernetes provider that uses the `kubeconfig` from the GKE cluster to communicate with it.
3. It deploys the `python-fastapi-postgres` Helm chart to the GKE cluster using the earlier created K8s provider. This part includes setting placeholders for the Helm chart repository and specific values that will be needed by the chart. Fill these placeholders with the actual values depending on where your Helm chart is hosted and the configuration it requires.

Once you have your program ready, you can run `pulumi up` in your terminal to create the infrastructure and deploy the Helm chart.

Remember to inspect the Helm chart documentation, especially the `values.yaml` file, as it contains configurable parameters for customizing the deployment. Customize the `values` object in the `helmChart` resource to match these parameters accordingly.