Deploy the prom2teams helm chart on Linode Kubernetes Engine

Question

Pulumi · Accepted Answer

To deploy the `prom2teams` Helm chart on the Linode Kubernetes Engine using Pulumi, you'll need to use the Pulumi Kubernetes provider which allows you to create, update, and manage Kubernetes resources using infrastructure as code.

We will use the `kubernetes.helm.v3.Chart` resource to deploy `prom2teams`. This resource is a high-level component that encapsulates the Helm chart deployment logic in a Pulumi program.

Firstly, ensure you have a Kubernetes cluster running in Linode. Then, configure your Pulumi environment to use the Linode Kubernetes Engine (LKE) by setting the relevant `kubeconfig`. This can typically be done by downloading the `kubeconfig` file from the Linode Cloud Manager and setting the `KUBECONFIG` environment variable to the path of this file.

Below is the Pulumi TypeScript program that deploys the `prom2teams` Helm chart onto an existing Kubernetes cluster:

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

const prom2teamsChart = new k8s.helm.v3.Chart("prom2teams", {
    // The repository where the Helm chart is located
    repo: "helm repo add prom2teams https://prom2teams.github.io/charts/",
    // The name of the chart to deploy
    chart: "prom2teams",
    // The version of the chart to deploy. When omitted, it deploys the latest version
    version: "5.0.2", // Specify the version that suits your requirements
    // Namespace where the chart will be installed
    namespace: "monitoring", // Make sure the namespace exists or create it as part of Pulumi's program
    // Chart values - configuration for the chart that might be necessary
    values: {
        // Provide any custom values for 'prom2teams' Chart here.
        // Example: customizing resource requests and limits
        resources: {
            limits: {
                cpu: "100m",
                memory: "128Mi",
            },
            requests: {
                cpu: "50m",
                memory: "64Mi",
            },
        },
        // Add custom value configurations for prom2teams if needed
    },
});

// Export the status URL of 'prom2teams' so you can easily access it
export const prom2teamsStatusUrl = prom2teamsChart.getResourceProperty(
    "v1/Service",
    "prom2teams",
    "status"
).apply(status => status.loadBalancer.ingress[0].hostname || status.loadBalancer.ingress[0].ip);

```

Here's what the program does:

1. We import the Kubernetes package from Pulumi as `k8s`.
2. We instantiate a `Chart` class from the `k8s.helm.v3` module and give it a name — in this case, `prom2teams`.
3. We specify the Helm chart repository, the name of the chart, the version and the Kubernetes namespace where we want to deploy the chart. You need to make sure the specified namespace exists (or create it within the Pulumi program).
4. We can also provide a set of custom `values` to configure `prom2teams`. Here, you can adjust the resources limits and requests as an example. Depending on the chart, you may have different or additional values to customize.
5. Finally, the program exports the URL for `prom2teams`, which can be accessed using the provided command `$ pulumi stack output prom2teamsStatusUrl` after the deployment. This assumes `prom2teams` exposes a service of type LoadBalancer.

Please replace `"5.0.2"` with the version number of the chart you wish to deploy. You may also need to add other configuration parameters to the `values` field to customize `prom2teams` based on your requirements.

Make sure you have Pulumi and `kubectl` installed, and you are logged in to your Linode account through the Linode CLI. Run `pulumi up` to execute the Pulumi program which will deploy the chart to your Linode Kubernetes cluster.

After running the program, Pulumi will provide you with the outputs, and you should be able to use `prom2teams` with your monitoring setup.