Hello, I'm Madeep Yampalaku

This project involved deploying a production-ready full-stack Django application (Frontend, Backend, and MySQL) on a Minikube Kubernetes cluster running on Ubuntu 22.04. The app was made publicly accessible via Cloudflare Tunnel with automatic HTTPS from Let's Encrypt.

Key Features:

• Kubernetes Cluster: Set up Minikube on Ubuntu 22.04 to manage containerized Django services.
• Ingress & Exposure: Configured NGINX Ingress and Cloudflare Tunnel for secure public access.
• TLS Security: Implemented cert-manager with Let's Encrypt for automatic HTTPS certificates.
• CI/CD Pipeline: Automated deployments using Jenkins, with SonarQube for code quality, DockerHub for image storage, and ArgoCD for continuous deployment.
• Autoscaling: Applied Horizontal Pod Autoscaling (HPA) for both frontend and backend to handle load dynamically.
• Persistence: Used StatefulSet and Persistent Volume Claim (PVC) for MySQL data persistence.
• Monitoring & Logging: Integrated Prometheus and Grafana for metrics, and ELK Stack for centralized logging.

Outcome: Successfully deployed a scalable, secure, and observable Django application, accessible globally with zero downtime during updates.

Designed and implemented a production-ready Amazon EKS cluster using Terraform, following AWS best practices with a strong focus on scalability, security, and modular infrastructure design.

Key Highlights:

• ✅ Modular Terraform architecture (VPC, IAM, EKS, Node Groups)
• 🌍 Multi-AZ VPC with public & private subnets
• 🔐 Secure IAM role separation
• ☸️ EKS cluster provisioning using Terraform & Kubernetes provider
• 📈 Cluster Autoscaler integration
• 📊 Metrics Server setup
• ⚖️ AWS ALB Controller deployed via Helm
• 🗄️ Remote Terraform backend with state locking
• 🔍 VPC Flow Logs enabled for network monitoring and auditing

End-to-end three-tier application (Frontend, Backend, Database) on Kubernetes, integrating DevSecOps practices with CI/CD pipelines, security scans, and monitoring.

Key Features:

• Domain & Networking: Configured domain via GoDaddy and set up ALB for traffic management.
• CI/CD Pipeline: Built automated pipelines with Jenkins and Terraform, including code quality analysis, dependency checks, security scans, Docker builds, and Trivy scans.
• Continuous Deployment: Used ArgoCD for seamless updates across the Kubernetes cluster.
• Secrets Management: Managed sensitive data using Kubernetes Secrets.
• Monitoring: Implemented Prometheus and Grafana for real-time health monitoring.
• Three-Tier Architecture: Deployed Frontend, Backend, and Database using Kubernetes Pods, Services, and Persistent Volumes.

Outcome: Delivered a secure, scalable, and observable three-tier application, reinforcing expertise in Kubernetes and DevSecOps.

Comprehensive observability solution for a self-hosted MySQL database on AWS EC2 within a private subnet. Full visibility with metrics, dashboards, slow query logging, audit trails, and real-time alerts.

Key Features:

• Metrics Collection: Prometheus with Node Exporter and MySQL Exporter for OS and database metrics.
• Dashboards: Grafana dashboards for system health and MySQL performance.
• Logging: Loki and Promtail for MySQL slow queries and CPU logs.
• Auditing: Percona Audit Plugin for tracking critical database activity.
• Alerting: Alertmanager for real-time notifications on issues.

Outcome: Production-ready, secure, and cost-effective monitoring and auditing solution.

Automated the deployment of an Android app to the Google Play Store using Jenkins on EC2. CI/CD pipeline with Gradle, Android SDK, and Google Play Android Publisher Plugin.

Key Features:

• Jenkins Setup: Configured Jenkins on EC2 for pipeline automation.
• Code Fetching: Pulled code from SVN/GitHub repositories.
• Build Tools: Gradle and Android SDK for building AAB files.
• Signing & Deployment: Automated AAB signing and uploading to Play Store.
• Notifications: Email notifications for pipeline success or failure.

Outcome: Fully automated, error-free deployment process, reducing deployment time and improving efficiency.