High-Availability-Cloud-Infrastructure

💼 High-Availability Cloud Infrastructure & Monitoring Stack

This project showcases a production-grade cloud infrastructure designed for high availability, scalability, and automated deployments. Built on AWS, the system simulates how modern cloud-native applications are deployed and maintained in real-world production environments.

The architecture eliminates single points of failure by running multiple application replicas behind a reverse proxy and load balancer, ensuring continuous service availability even when individual containers fail. A fully automated CI/CD pipeline powered by GitHub Actions handles the entire deployment lifecycle — from building and testing to pushing container images and deploying updates to the cloud with zero downtime.

To ensure reliability, the system incorporates self-healing mechanisms using Docker health checks and automated container recovery. If any service becomes unhealthy, it is automatically restarted and reintegrated into the load-balanced pool once stable.

Observability is a core part of the infrastructure. Prometheus collects real-time metrics across the system, while Grafana provides interactive dashboards for monitoring performance, resource usage, and application health. This enables proactive issue detection and system optimization.

⚙️ Architecture Flow

Code → GitHub → GitHub Actions → Docker Build → Docker Hub → 
AWS EC2 → Load Balancer (Nginx) → Application Replicas → Monitoring (Prometheus/Grafana)

🛠️ Tools & Why They Were Used

• AWS (EC2)
• Used as the cloud platform to host and run the production infrastructure in a scalable environment.
• Docker & Docker Compose
• Enabled containerization and orchestration of multiple services, ensuring consistency and easy scaling.
• Nginx / Caddy
• Acts as a reverse proxy and load balancer to distribute traffic across multiple application instances.
• GitHub Actions
• Automates the CI/CD pipeline, handling build, testing, and deployment processes on every code push.
• Docker Hub
• Serves as the container registry for storing and distributing application images.
• Prometheus
• Collects system and application metrics for monitoring and performance analysis.
• Grafana
• Visualizes metrics through dashboards, providing insights into system health and behavior.

🔐 Key Features

• High availability through multiple service replicas
• Automated CI/CD pipeline with zero-downtime deployments
• Self-healing infrastructure with automatic container recovery
• Load balancing for efficient traffic distribution
• Real-time monitoring and observability
• Scalable and production-ready cloud deployment

🎯 Outcome

This project demonstrates the ability to design resilient, fault-tolerant cloud systems with automated deployment pipelines and strong observability practices. It reflects real-world DevOps principles, including high availability, system reliability, and continuous delivery in a cloud-native environment.