1. Deploy the signalsciences helm chart on AWS EKS


    To deploy the Signal Sciences helm chart on an AWS EKS cluster using Pulumi, you'll follow these general steps:

    1. Create an EKS cluster.
    2. Deploy the Signal Sciences helm chart onto that cluster.

    We'll use the Pulumi eks package to create a managed Kubernetes cluster on AWS EKS. This package facilitates the creation of an EKS cluster and abstracts away some of the complexity involved in setting up an EKS cluster.

    After the cluster is up and running, we'll use the kubernetes package to deploy the Signal Sciences helm chart. Helm is a package manager for Kubernetes, and it simplifies the deployment and management of applications on Kubernetes clusters.

    Let's start with the program that will set up the infrastructure for this:

    import * as eks from "@pulumi/eks"; import * as kubernetes from "@pulumi/kubernetes"; // Step 1: Create an EKS cluster const cluster = new eks.Cluster("my-cluster", { // Specify additional options here if you need to configure VPC, instance types, IAM roles, etc. }); // Step 2: Deploy the Signal Sciences helm chart const signalSciencesChart = new kubernetes.helm.v3.Chart("signalsciences-chart", { repo: "signalsciences", chart: "signalsciences", namespace: "sigsci", // You can customize the chart values with the 'values' property if needed // values: { /* Your custom chart values */ }, }, { provider: cluster.provider }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig;


    • We're importing the necessary Pulumi packages for EKS and Kubernetes.
    • We're creating an EKS cluster using the eks.Cluster class, which, by default, sets up all the resources needed for a basic EKS cluster.
    • After the cluster is created, we're deploying the Signal Sciences helm chart. The kubernetes.helm.v3.Chart class is used to specify the details of the helm chart we want to deploy.
    • We use repo to specify the name of the helm chart repository, and chart to specify the exact chart we want to use. The namespace parameter places the chart in a specific Kubernetes namespace. If the Signal Sciences chart requires specific configuration, this would be provided in the values property – this lets you customize the deployment.
    • The provider argument tells Pulumi to deploy the helm chart onto the EKS cluster we've just created.
    • Finally, we export the kubeconfig which you can use to interact with your cluster via kubectl.

    Important notes:

    • Make sure you have Pulumi installed and configured with your AWS credentials.
    • Replace "signalsciences" in repo with the actual name of the Signal Sciences helm chart repository. If the chart is not on a published Helm repo but is locally available, you can use path property instead.
    • You may need to adjust the values to suit the Signal Sciences helm chart's requirements.
    • Ensure that the versions of @pulumi/eks and @pulumi/kubernetes in package.json are compatible with your Pulumi CLI.
    • This program assumes that Signal Sciences publishes their helm chart to a helm repository. If that's not the case, you'll need to configure the chart differently.

    To run this code, you'll execute it within a Pulumi program. Follow the usual Pulumi workflow: save the script as index.ts, install the dependencies (@pulumi/eks and @pulumi/kubernetes), and execute pulumi up.

    Remember, with Pulumi, you describe the desired state, and Pulumi handles the process of achieving that state. The actual infrastructure code may differ slightly based on the specifics of your environment and the helm chart.