GitHub Actions Tic-Tac-Toe Game

This project combines the classic game of Tic-Tac-Toe with the help of GitHub Actions for automation and deployment.

Introduction

In my recent project, I orchestrated a comprehensive infrastructure automation and deployment workflow using AWS services, GitHub Actions, Docker, Kubernetes, and more.

Step 1A: Launching an EC2 Instance and Creating an IAM Role

• EC2 Instance Setup: Launched an AWS EC2 instance with Ubuntu 22.04 using the AWS Management Console. Configured instance details, storage, tags, and security group settings.
• IAM Role Creation: Created an IAM role named "Jenkins-cicd" using the AWS Management Console for CI/CD purposes, granting necessary permissions like Administrator Access, AmazonS3FullAccess, and EKS Full access.

Step 1B: Adding a Self-hosted Runner to EC2 and GitHub Integration

• GitHub Self-hosted Runner: Configured a self-hosted runner on the EC2 instance to execute GitHub Actions workflows.

• SonarQube Integration: Integrated SonarQube with GitHub Actions to automatically analyze code for quality and security.

Step 2A: Docker Installation and Running SonarQube Container

• Docker Setup: Installed Docker on the EC2 instance to manage containers efficiently.

• SonarQube Deployment: Pulled and ran the SonarQube Docker image on the EC2 instance, enabling code analysis and quality checks.

Step 2B: Integrating SonarQube with GitHub Actions

• Automated Code Analysis: Integrated SonarQube with GitHub Actions to analyze code quality as part of the CI pipeline.

• GitHub Secrets Configuration: Stored SonarQube tokens securely as GitHub secrets for authentication.

Step 2C: Installation of Other Tools

Automated the installation of essential tools including Java 17, Trivy, Terraform, kubectl, AWS CLI, Node.js 16, and npm using a script.

EKS Provisioning

• Terraform Configuration: Cloned the repository containing EKS Terraform files and configured the backend file with an S3 bucket.

• Terraform Deployment: Initialized, validated, planned, and applied Terraform to provision an EKS cluster.

• Node Group EC2 Instance: Created a node group EC2 instance to scale the EKS cluster.

Deploying Application and Notifying with Slack

• Docker Build and Push: Built Docker images, tagged them, logged in to Docker Hub, and pushed images using GitHub Actions.

• Deploying to Container: Pulled Docker images, scanned them with Trivy, and deployed containers on the EC2 instance.

• EKS Deployment: Updated kubeconfig and deployed applications to the Amazon EKS cluster.

• Slack Notifications: Sent notifications to Slack channels using GitHub Actions upon successful deployment.

Results and Impact

• Successfully automated infrastructure provisioning, code analysis, and deployment processes.
• Ensured code quality, security, and reliability through automated checks and scans.
• Improved development efficiency, scalability, and reliability of applications deployed on AWS and Kubernetes.

Workflow