☁️ Cloud & DevOps Portfolio

Welcome to my Cloud & DevOps portfolio.
This section highlights projects where I applied cloud engineering, infrastructure automation, and DevOps practices to build scalable and reliable systems.

My focus areas include:

• 🚀 Cloud Platforms → AWS, Azure, GCP
• 🐳 Containers & Orchestration → Docker, Kubernetes
• 🔄 CI/CD Pipelines → GitHub Actions, Jenkins, GitLab CI
• 📊 Monitoring & Logging → CloudWatch, Prometheus, Grafana
• 🔐 Infrastructure as Code (IaC) → Terraform, Ansible

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🔹 Featured Projects

1. ⚡ Machine Learning CI/CD Pipeline

• Automated ML model training, testing, and deployment with GitHub Actions
• Packaged models into Docker containers and deployed on AWS EC2
• Integrated CloudWatch for monitoring and alerts
  👉 View Project

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2. 🗄️ Serverless Image Processing with AWS Lambda

• Built a serverless pipeline to process and classify uploaded images
• Used AWS S3 + Lambda + Rekognition + DynamoDB
• Event-driven architecture for scalable, cost-efficient workflows
  👉 View Project

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3. 🌐 Multi-Tier Web App Deployment on AWS

• Deployed a 3-tier application (Frontend, Backend, Database) on AWS
• Used EC2, RDS, and Elastic Load Balancer for high availability
• Infrastructure managed with Terraform (IaC)
  👉 View Project

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4. 📈 Kubernetes Monitoring Stack

• Deployed Prometheus + Grafana to monitor Kubernetes cluster workloads
• Created custom dashboards for CPU, memory, and pod health
• Implemented alerting rules for proactive incident management
  👉 View Project

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🔹 How to Explore

• Each project folder contains:
  • 📄 README.md → Detailed architecture, workflows, and screenshots
  • 🖼️ Diagrams → Cloud architecture diagrams, deployment flows
  • 🎥 Demos → Video links or deployed services

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🔹 Next Steps

📂 Browse through my projects, or return to my Main Portfolio to see more on AI/ML, Automation, and PLC systems.

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