TITANIC AI SRE Engineer

TITANIC is an AI-native reliability operating system prototype for autonomous incident investigation, predictive reliability, infrastructure intelligence, and recovery workflows.

🚀 Deployed Links

• Frontend Command Center: https://titanic-sre-engine.vercel.app/
• Backend API: Deployed on Railway (fully configured with dynamic CORS to support the Vercel frontend command center)

What Is Included

• apps/web - runnable command center UI with incident RCA, service map, replay, chat, postmortem, and integration settings.
• apps/api - FastAPI-ready backend scaffold for incidents, topology, AI analysis, chat, recovery, and predictions.
• docs/ARCHITECTURE.md - scalable product architecture mapped to the blueprint.
• docs/MANUAL_SETUP.md - required API keys, links, cloud settings, and integration notes.
• docs/API.md - endpoint contract for incidents, AI, infrastructure, replay, and recovery.
• infra/docker-compose.yml - local service plan for Postgres, Redis, Neo4j, and Qdrant.
• apps/api/alembic - SQLAlchemy/Alembic schema migration setup.

Run The Demo UI

From the workspace root:

python -m http.server 4173 -d apps/web

Open:

http://localhost:4173

The current UI is self-contained and uses realistic mock telemetry so the product can be reviewed before real integrations are connected.

Frontend Stack Scaffold

The instant demo is no-build for hackathon reliability. The React/Vite/Tailwind migration scaffold is also included in apps/web/package.json, vite.config.ts, and tailwind.config.ts.

After Node dependencies are available:

cd apps/web
npm install
npm run dev

Run The API Later

cd apps/api
.\scripts\setup_backend.ps1
uvicorn app.main:app --reload --port 8000

Create apps/api/.env from .env.example before enabling real AI and infrastructure actions.

Run full local infra:

cd infra
docker compose up --build