Task Tracker - SRE Deployment Practice

A simple Flask web app for adding/viewing tasks. Use this to practice SRE workflows.

Local Development

1. Install Python 3.12+.
2. pip install -r requirements.txt
3. python app.py
4. Visit http://localhost:5000
5. Test health: curl http://localhost:5000/health

Containerized Deployment

1. Build: docker build -t task-tracker .
2. Run: docker run -p 5000:5000 task-tracker
3. Multi-container: docker-compose up
4. Test: curl http://localhost:5000/ready

Cloud Deployment (e.g., Google Cloud Run)

1. Enable Cloud Run API and install gcloud CLI.
2. gcloud builds submit --tag gcr.io/YOUR_PROJECT_ID/task-tracker
3. gcloud run deploy task-tracker --image gcr.io/YOUR_PROJECT_ID/task-tracker --platform managed --allow-unauthenticated
4. Set env vars (e.g., PORT) in the console.

Monitoring/SRE Tips

• Logs: Check Flask logs or integrate Prometheus.
• Scale: Add env var for DB (e.g., DATABASE_URL).
• CI/CD: Update deploy.yml secrets and push to trigger.

For Kubernetes: Use the Dockerfile as base for a Deployment YAML.

Deployment

• Uses GitHub Actions for Docker build and image push to registry