1. Deploy the banzaicloud-logging-operator-monitoring helm chart on AWS EKS


    Deploying a Helm chart to an AWS EKS cluster involves several steps. You'll need to have an EKS cluster up and running, and then you can deploy the Helm chart to it. Below, I will guide you through the process which includes:

    1. Creating an EKS cluster: We'll use the eks.Cluster resource from Pulumi.
    2. Deploying the banzaicloud-logging-operator-monitoring Helm chart: We'll use the helm.v3.Chart resource from Pulumi.

    For this setup, we are assuming that the banzaicloud-logging-operator-monitoring Helm chart is published somewhere that Helm can access, such as a public Helm repository. You will also need to have Pulumi and AWS CLI configured with the necessary access rights to create and manage AWS resources.

    First, you need to set up the EKS cluster. Here is how you might create an EKS cluster using Pulumi:

    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; import * as awsx from "@pulumi/awsx"; import * as eks from "@pulumi/eks"; // Create a new VPC for your EKS cluster. const vpc = new awsx.ec2.Vpc("my-vpc", {}); // Create an EKS cluster with the default configuration. const cluster = new eks.Cluster("my-cluster", { vpcId: vpc.id, publicSubnetIds: vpc.publicSubnetIds, privateSubnetIds: vpc.privateSubnetIds, }); // Export the cluster name and kubeconfig. export const clusterName = cluster.eksCluster.name; export const kubeconfig = cluster.kubeconfig;

    Once the EKS cluster is set up, you can deploy the Helm chart to it. The following Pulumi code demonstrates how to do this:

    import * as k8s from "@pulumi/kubernetes"; // Create a new Kubernetes provider instance that uses our EKS cluster from above. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: cluster.kubeconfig.apply(JSON.stringify), }); // Deploy the banzaicloud-logging-operator-monitoring Helm chart. const loggingOperatorMonitoringChart = new k8s.helm.v3.Chart("banzaicloud-logging", { chart: "banzaicloud-logging-operator-monitoring", // You might need to add the repository option if the chart is in a custom helm repository. // For example: // repositoryOpts: { // repo: "https://charts.banzaicloud.com/", // }, // You can specify the version of the chart you want to deploy. // For example: // version: "3.9.0", }, { provider: k8sProvider }); // Optionally, you can output resources like URLs, which you can visit or use in your CI/CD system. // e.g., logging stack Grafana dashboard URL, Kibana dashboard URL, etc.

    This program sets up a new EKS cluster and deploys the banzaicloud-logging-operator-monitoring Helm chart to it. The eks.Cluster resource is used to create and manage the EKS cluster. The VPC and subnets are managed by the awsx library which provides higher level abstractions for networking.

    In the second part of the program, the k8s.helm.v3.Chart resource is used to deploy the Helm chart to the EKS cluster using the specified name and chart version.

    To deploy this Pulumi program, you would run pulumi up after installing Pulumi and configuring AWS credentials. The program is written in TypeScript and should be used in a TypeScript Pulumi project.

    Remember that this example assumes that you have Pulumi installed, a Pulumi account set up, and AWS credentials configured (via the CLI or environment variables) with necessary permissions to create EKS clusters.