SRE Portfolio - Proof of Experience

Complete SRE portfolio demonstrating monitoring, CI/CD, containerization, orchestration, automation, and incident response.

Structure

01-monitoring/

Prometheus + Grafana monitoring stack

• Full observability setup with node-exporter
• Auto-provisioned Grafana datasource
• Start: cd 01-monitoring && docker compose up -d
• Access: Prometheus (9090), Grafana (3000)

02-ci-cd/

CI/CD pipeline with GitHub Actions, Docker, Kubernetes

• FastAPI backend with Prometheus metrics
• JavaScript frontend dashboard (real-time monitoring)
• CRUD operations for order management
• Traffic simulator (universal, works with any API)
• Dockerfile with multi-stage build
• Kubernetes manifests (deployment, service, HPA)
• Automated testing on push
• Container orchestration ready

03-automation/

Automation scripts for common SRE tasks

• Log cleanup with retention policy
• Disk space monitoring with alerts
• Backup automation with rotation
• All scripts create demo data for testing

04-runbooks/

Incident response documentation

• High CPU usage troubleshooting
• Service downtime resolution
• Deployment checklist with rollback

Quick Start

# 1. Monitoring
cd 01-monitoring
docker compose up -d
# Grafana: http://localhost:3000 (admin/admin)
# Prometheus: http://localhost:19090

# 2. CI/CD - Docker
cd 02-ci-cd
docker compose up -d
# User Site: http://localhost:5001 (E-commerce Frontend)
# Admin Dashboard: http://localhost:5001/admin (Traffic Simulation)
# SRE Dashboard: http://localhost:5001/sre (Monitoring & Ops)
# API Docs: http://localhost:5001/docs
# Metrics: http://localhost:5001/metrics

# 3. Traffic Simulation
cd 02-ci-cd
python traffic_simulator.py
# Or with custom URL: python traffic_simulator.py --url https://your-api.com

# 4. CI/CD - Kubernetes (requires cluster)
kubectl apply -f 02-ci-cd/k8s/
kubectl get all

# 5. Automation
cd 03-automation
./disk_monitor.sh
./backup_script.sh
./cleanup_logs.sh

# 6. Demo everything
./quick_demo.sh

Technologies

• Monitoring: Prometheus, Grafana, Node Exporter
• Backend: FastAPI, Python, Uvicorn
• Frontend: JavaScript (Vanilla), HTML5, CSS3
• Containers: Docker, Docker Compose
• Orchestration: Kubernetes, HPA
• CI/CD: GitHub Actions, Pytest
• Languages: Python, JavaScript, Bash
• Infrastructure: YAML manifests, Dockerfiles

Screenshots

Each section has assets/screenshots/ folder for proof documentation. See SCREENSHOT_GUIDE.md for detailed instructions on capturing evidence.