Deploy the prometheus-rules helm chart on AWS EKS
TypeScriptTo deploy the
prometheus-rules
Helm chart on an AWS Elastic Kubernetes Service (EKS) cluster, we need to follow several steps. Assuming you already have an EKS cluster set up, the process involves installing the Helm chart onto the cluster. Below we will detail the steps and provide a Pulumi TypeScript program to achieve this.-
Importing Necessary Packages: We will use
@pulumi/awsx
to interact with AWS-related resources in a more abstract and convenient way. For deploying our Helm chart, we will use the@pulumi/kubernetes
package, which allows us to manage our Kubernetes resources using Pulumi. -
Setting up Helm Release: Using Pulumi's Kubernetes provider, we can define a Helm release resource that represents the deployment of the
prometheus-rules
chart. The Helm chart will be fetched from its repository, and we will configure it with the necessary values. -
Monitoring and Access: Once the Helm chart is deployed, we'll want to monitor the deployment process and potentially set up access to the Prometheus instance to verify that it's working as expected.
Here's how you can deploy the
prometheus-rules
Helm chart to an existing EKS cluster using Pulumi:import * as pulumi from "@pulumi/pulumi"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; import * as awsx from "@pulumi/awsx"; // This assumes that we have a pre-existing EKS cluster named `my-cluster`. // You should replace it with your actual cluster name. const cluster = eks.Cluster.get("my-cluster", "my-cluster-id"); // Initialize the Kubernetes provider using our EKS cluster's kubeconfig. const provider = new k8s.Provider("provider", { kubeconfig: cluster.kubeconfig, }); // Create a namespace for your Prometheus deployment if you haven't done so already. const namespace = new k8s.core.v1.Namespace("prometheus-namespace", { metadata: { name: "monitoring" }, }, { provider }); // Deploy Prometheus rules Helm chart in the defined namespace. const prometheusChart = new k8s.helm.v3.Chart("prometheus-rules", { chart: "prometheus-rules", version: "your-chart-version", // specify your Helm chart version fetchOpts: { repo: "https://your-helm-chart-repository", // Example: "https://charts.helm.sh/stable" }, namespace: namespace.metadata.name, // If necessary, provide custom values to the Helm chart. values: { // Example values. Customize according to your needs. service: { type: "ClusterIP", }, }, }, { provider }); // Export the endpoint of Prometheus server if needed. export const prometheusEndpoint = prometheusChart.getResourceProperty("v1/Service", "monitoring/prometheus-server", "status");
In this program:
-
We retrieve an existing EKS cluster using
eks.Cluster.get
, which requires the name of the cluster and its ID. -
We set up a
k8s.Provider
to interact with our EKS cluster using the cluster'skubeconfig
. -
A Kubernetes namespace is created where Prometheus-related resources will reside. This is good practice to isolate different workloads on your cluster.
-
We use
k8s.helm.v3.Chart
to declare our intention to deploy theprometheus-rules
Helm chart. Replace"your-chart-version"
and"https://your-helm-chart-repository"
with the specific version of the Helm chart and its repository. Customize thevalues
with the settings required by your Helm chart. -
Finally, we expose the
prometheusEndpoint
so we can easily access the URL of Prometheus server after deployment.
Please, ensure that you replace placeholders such as
my-cluster
,my-cluster-id
,your-chart-version
, andhttps://your-helm-chart-repository
with actual values that are appropriate for your environment.To run this program:
- Install the Pulumi CLI.
- Set up your AWS credentials and default region.
- Initialize a new Pulumi project or use an existing one.
- Add the necessary npm packages to your project by running
npm install @pulumi/pulumi @pulumi/eks @pulumi/kubernetes @pulumi/awsx
. - Place the TypeScript program in your
index.ts
file. - Run
pulumi up
to execute the program and deploy the Helm chart.
-