Production-Style DevOps Projects

Problem

The original legacy application needed better deployment readiness, environment separation, maintainability, infrastructure planning, and DevOps documentation.

Solution

Restructured the application, containerized services with Docker and Docker Compose, designed CI/CD stages, prepared Terraform-based AWS infrastructure, planned Kubernetes deployments, and added observability and DevSecOps practices.

Result

A production-style modernization plan with reproducible infrastructure, automated delivery stages, and clear architecture and troubleshooting documentation.

Problem

Manual deployment workflows can ship untested code and vulnerable images without quality or security checks.

Solution

Built a Jenkins pipeline that checks out code, runs PHPUnit tests, analyzes code with SonarQube, enforces Quality Gate results, builds Docker images, scans with Trivy, pushes approved images to Docker Hub, and deploys to EC2.

Result

Every commit flows through automated tests, code quality, and security scans before reaching production — with full evidence and documentation.

Problem

Deploy a multi-service application on Kubernetes with persistence, routing, security, autoscaling, observability, and troubleshooting readiness.

Solution

Created Kubernetes manifests for application services, PostgreSQL StatefulSet, persistent storage, Ingress routing, RBAC, NetworkPolicies, HPA/VPA, Fluentd DaemonSet logging, probes, and deployment automation.

Result

A reproducible Kubernetes platform with autoscaling, secured network paths, persistent data, and a clear kubectl troubleshooting workflow.

Problem

Run a multi-service application consistently with reverse proxying, persistence, caching, SSL, and service health checks.

Solution

Built a Docker Compose stack with Nginx as SSL reverse proxy and load balancer, multiple Flask API instances, PostgreSQL for persistence, Redis for caching, and health-check endpoints.

Result

A reproducible local stack that mirrors production patterns: SSL termination, load balancing, persistence, caching, and health probes.

Problem

Practice Linux automation by building a practical CLI tool with persistent storage and user interaction.

Solution

Built a Bash-based task manager that supports adding, viewing, updating, deleting, storing, validating, and displaying tasks through a structured terminal interface.

Result

A clean, single-file Bash utility that demonstrates real Linux scripting patterns end-to-end.