Deploy the redisinsight helm chart on Kubernetes

Question

Pulumi · Accepted Answer

Deploying a Helm chart on a Kubernetes cluster using Pulumi involves several steps. We will be defining a Pulumi program to achieve this. Here's what the program will do:

1. Import necessary packages.
2. Create a Helm chart resource that refers to the RedisInsight chart.
3. Specify any required configurations for the service.

Below is a detailed Pulumi program written in TypeScript that deploys the RedisInsight Helm chart. For this deployment, you will need to have access to a Kubernetes cluster. The program assumes that you've already configured your `kubeconfig` file and Pulumi is able to communicate with your Kubernetes cluster.

First, we install the necessary Pulumi libraries for TypeScript:

```bash
npm install @pulumi/pulumi
npm install @pulumi/kubernetes
```
After installing the required packages, we write our Pulumi program:

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

// Define the namespace where RedisInsight will be installed.
const namespace = new k8s.core.v1.Namespace("redisinsight-ns", {
    metadata: {
        name: "redisinsight", // The namespace name
    },
});

// Deploy RedisInsight using a Helm chart.
const redisInsightChart = new k8s.helm.v3.Chart("redisinsight", {
    chart: "redisinsight",
    version: "x.y.z", // Specify the chart version you need
    namespace: namespace.metadata.name,
    fetchOpts: {
        repo: "https://your-helm-chart-repository.com", // Replace with the actual Helm chart repo URI
    },
    values: {
        // Chart-specific values: enable specific features, resources requests, and other configurations.
        // These values would typically mirror the values found in a chart's `values.yaml` or any additional values you may want to override.
    },
    // dependencies that must be ready before deploying this chart
    transformations: [({ resource }) => {
        if (resource.kind === "Deployment") {
            resource.metadata.namespace = namespace.metadata.name;
        }
    }],
}, { dependsOn: namespace });

// Export the namespace name and service endpoint
export const redisInsightNamespace = namespace.metadata.name;
export const redisInsightServiceEndpoint = redisInsightChart.getResourceProperty("v1/Service", "redisinsight-redisinsight", "status").apply(status => status.loadBalancer.ingress[0].ip);
```

In the above program, we do the following:

1. Import the `@pulumi/kubernetes` library, which allows us to create Kubernetes resources using Pulumi.
2. Define a namespace for RedisInsight using a Kubernetes `Namespace` resource. Namespaces are a way to divide cluster resources between multiple users (via resource quota).
3. Instantiate a `Chart` resource, which is a component from Pulumi’s Kubernetes library for deploying Helm charts. In the `Chart` resource, you need to specify the chart name (`redisinsight`), a chart version (replace `x.y.z` with the version you aim to deploy), and the namespace where it should be deployed.
4. Specify the Helm chart repository location via the `fetchOpts` block with a placeholder URL (`https://your-helm-chart-repository.com`). You'll need to replace it with the actual URL to the repository that hosts the RedisInsight chart.
5. Apply transformations to ensure all resources created by this chart are deployed within the specified namespace.
6. Export useful stack outputs, such as the namespace name and the service endpoint if you need to connect with RedisInsight from outside your cluster.

To deploy the above Pulumi program:

1. Save the program in a file named `index.ts`.
2. Run `pulumi up` in the terminal within the directory of your project. Pulumi will execute the deployment to your Kubernetes cluster.

Make sure you replace the placeholders such as the chart version and the Helm repository URL with the actual values for the RedisInsight Helm chart.