Cloud Infrastructure and DevOps Automation

This project focused on the design and implementation of a fully automated cloud infrastructure aimed at improving deployment efficiency, scalability, and system reliability for a modern web application environment. The infrastructure was built on AWS, leveraging services such as EC2, S3, RDS, and CloudFront. A containerized architecture was adopted using Docker, enabling consistent environments across development, staging, and production. Kubernetes was used for orchestration, allowing horizontal scaling, load balancing, and high availability across services. A complete CI/CD pipeline was implemented using GitHub Actions, automating build, test, and deployment processes. Each code change triggers a pipeline that runs automated tests, builds Docker images, and deploys them to the Kubernetes cluster. This significantly reduces manual intervention and minimizes the risk of human error. Infrastructure as Code (IaC) was implemented using Terraform, enabling reproducible and version-controlled infrastructure provisioning. This approach allows teams to manage infrastructure changes in the same way as application code, improving traceability and consistency. Monitoring and observability were addressed through the integration of Prometheus and Grafana, providing real-time metrics, alerting, and system insights. Logging pipelines were configured to centralize logs and facilitate debugging in distributed environments. Security best practices were also applied, including IAM role management, network segmentation (VPC), secure secrets handling, and HTTPS enforcement. Key components: • AWS cloud infrastructure (EC2, RDS, S3, CloudFront) • Docker containerization • Kubernetes orchestration • CI/CD pipelines (GitHub Actions) • Infrastructure as Code (Terraform) • Monitoring and logging (Prometheus, Grafana) The outcome is a highly scalable, resilient, and automated infrastructure that supports continuous delivery, reduces downtime, and enables rapid product iteration.