1. Deploy the jfrog-common helm chart on AWS EKS


    To deploy the jfrog-common Helm chart on AWS EKS using Pulumi, you'll need to perform these high-level steps:

    1. Set up an AWS EKS Cluster: This is the Kubernetes cluster where your applications will run.
    2. Create an AWS IAM role for the EKS service: This role allows EKS to make calls to other AWS services on your behalf.
    3. Deploy the jfrog-common Helm chart to the EKS cluster: Helm charts are packages of pre-configured Kubernetes resources.

    Below is a Pulumi program written in TypeScript which illustrates these steps. The program sets up an EKS cluster, configures an IAM role, and deploys the jfrog-common Helm chart. It uses the eks package to create the cluster and IAM role, and the kubernetes package for deploying the Helm chart.

    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an EKS cluster const cluster = new eks.Cluster("my-cluster", { // Specify the desired Kubernetes version version: "1.21", // Use default VPC, subnets, and node group settings in this example }); // Step 2: Create an IAM role for the EKS service const serviceRole = new aws.iam.Role("eks-serviceRole", { assumeRolePolicy: aws.iam.assumeRolePolicyForPrincipal({ Service: "eks.amazonaws.com" }), }); new aws.iam.RolePolicyAttachment("eks-serviceRole-PolicyAttachment", { role: serviceRole, policyArn: pulumi.interpolate`arn:aws:iam::${aws.getCallerIdentity().then(id => id.accountId)}:policy/AmazonEKSClusterPolicy`, }); // Now, we'll grab the Kubeconfig from the EKS cluster to use with the Kubernetes provider const kubeconfig = cluster.kubeconfig.apply(JSON.stringify); // Step 3: Deploy the jfrog-common Helm chart to the EKS cluster const helmProvider = new k8s.Provider("helm-provider", { kubeconfig: kubeconfig, }); new k8s.helm.v3.Chart("jfrog-common", { chart: "jfrog-common", // This assumes that the Helm chart is available in the default Helm repository // If the chart is in a custom repository, provide `repo` argument with the URL // You can also provide `values` for any custom configurations as an argument // For JFrog, this may include setting up databases, configuring services, etc. }, { provider: helmProvider }); // Export the kubeconfig and the cluster name export const kubeconfigOutput = kubeconfig; export const clusterName = cluster.core.cluster.name;

    Let's break down what each part of this program is doing:

    • eks.Cluster: This creates a new EKS cluster using default settings. These settings include using the default VPC and default node group configuration. The EKS cluster is where your applications, managed by Kubernetes, will run.

    • aws.iam.Role: This sets up an IAM role the EKS service will use. This role is required for EKS to access other AWS services. The assumeRolePolicy specifies that only the EKS service can assume this role.

    • aws.iam.RolePolicyAttachment: This attaches the necessary policy to the IAM role we created, granting it the permissions required to operate the EKS cluster.

    • k8s.Provider: This is the Kubernetes provider that utilizes the generated kubeconfig from the created EKS cluster. It allows Pulumi to deploy Kubernetes resources to the cluster.

    • k8s.helm.v3.Chart: This deploys the jfrog-common Helm chart to your EKS cluster using the Helm provider we created. The argument chart specifies the name of the Helm chart. If the chart is not on the default Helm repo, you'd need to specify the repo property with the appropriate URL. You can also provide custom configurations using the values property.

    Finally, the program exports the kubeconfig and clusterName. kubeconfig is the configuration file needed to connect to your cluster with kubectl or any Kubernetes client. clusterName is the name of the created cluster.

    Remember to replace 1.21 with the Kubernetes version you want to use for your EKS Cluster and jfrog-common with the correct chart name if it differs.

    To run this Pulumi program, save it to a index.ts file, set up your AWS credentials, and then execute it with the Pulumi CLI commands:

    pulumi up

    This will prompt Pulumi to provision the infrastructure as defined in the code.