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Building a Kafka Log Processing Pipeline with AWS EKS and Terraform

Overview

This project demonstrates how to build a Kafka log processing pipeline using AWS EKS and Terraform. It provisions necessary AWS resources, configures an EKS cluster, and deploys a highly available Kafka cluster using ArgoCD.

Components

  • Terraform (infra): Sets up VPC, EKS, DynamoDB, and ECR.
  • ArgoCD (kubernetes/argocd): Manages continuous deployment in the Kubernetes environment.
  • Kafka Deployment (kubernetes/kafka): Contains the Kafka and Zookeeper deployment manifests for Kubernetes, configured for high availability.

Prerequisites

  1. Install Terraform (v1.0+).
  2. Install AWS CLI.
  3. Install kubectl.
  4. Install Helm for ArgoCD setup.
  5. Configure AWS CLI with appropriate IAM permissions for EKS, VPC, S3, DynamoDB, and IAM.

Infrastructure Setup with Terraform

  1. Navigate to the infra directory:

    cd infra

  2. Initialize and apply Terraform configuration:

    terraform init
terraform apply

    This will provision:

    • A VPC with subnets for the EKS cluster.
    • An EKS cluster.
    • A DynamoDB table for log storage.
    • An ECR repository for container images.

  3. Verify EKS Cluster Access:

    After Terraform completes, configure kubectl to access the EKS cluster.

    aws eks update-kubeconfig --name <cluster_name> --region <region>

Deploy ArgoCD and Kafka on EKS

Step 1: Install ArgoCD

  1. Navigate to the kubernetes/argocd directory:

    kubectl create namespace argocd
kubectl apply -f kubernetes/argocd/install_argo.yaml

  2. Access the ArgoCD UI:

    • Forward the ArgoCD server port:

      kubectl port-forward svc/argocd-server -n argocd 8080:443

    • Access ArgoCD at https://localhost:8080. Login credentials can be retrieved with:

      kubectl get secret argocd-initial-admin-secret -n argocd -o jsonpath="{.data.password}" | base64 -d

Step 2: Deploy Kafka and Zookeeper via ArgoCD

  1. Apply Kafka and Zookeeper Manifests:

    kubectl apply -f kubernetes/kafka/zookeeper_deployment.yaml
kubectl apply -f kubernetes/kafka/kafka_pvc.yaml
kubectl apply -f kubernetes/kafka/kafka_deployment.yaml
kubectl apply -f kubernetes/kafka/kafka_service.yaml

  2. Verify Kafka Deployment:

    kubectl get pods -n kafka

Project Cleanup

To destroy all resources created, run:

cd infra
terraform destroy