Hands-on AWS infrastructure projects covering core services, Infrastructure as Code, CI/CD automation, and real-time monitoring — built as part of a structured 24-week cloud engineering program.
A structured 24-week AWS lab program covering core services, Infrastructure as Code, and automation. Daily hands-on labs building real-world cloud skills across VPC, IAM, EC2, RDS, Terraform, Docker, and CI/CD pipelines.
End-to-end DevOps pipeline built with GitHub Actions and AWS services. Automates build, test, and deployment workflows for cloud applications — enabling fast, reliable, and repeatable deployments to AWS environments.
AWS CodeBuild integration project demonstrating automated build pipelines in the cloud. Configures build environments, manages build artifacts, and integrates with the broader AWS DevOps ecosystem for streamlined deployments.
Demonstrates how to use Terraform to deploy and manage an S3 bucket on AWS. The goal is to understand the fundamentals of automating infrastructure deployment using Infrastructure as Code (IaC) — reproducible, version-controlled, and auditable cloud resources.
A CloudWatch alarm that monitors EC2 CPU utilization and triggers an SNS notification when usage exceeds 50% for 5 minutes. Demonstrates real-time cloud monitoring, alerting pipelines, and operational best practices for AWS infrastructure.
An automated EC2 health monitoring system that reads CPU metrics from CloudWatch, writes structured JSON logs to S3, and triggers SNS email alerts when CPU exceeds 50%. Built with Python/boto3 and IAM role-based security — a capstone project demonstrating end-to-end AWS automation.