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- Introduce nginx/nginx.conf: HTTPS entry, path routing to services, Basic auth tiers, rate limits, body sizes, proxy timeouts, structured access logs - Extend docker-compose: nginx service, internal APIs, MLflow UI base URL - Ignore nginx secrets (htpasswd, TLS keys); update smoke script for gateway URL Made-with: Cursor
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Nginx Implementation
Added an nginx reverse-proxy gateway in front of all services and updated docker-compose.yml so traffic now goes through a single public entrypoint (80/443) instead of exposing internal APIs directly.
The gateway enforces TLS, route-level Basic Auth, request rate limiting, payload size limits, timeout/logging hardening, and routes for embedding, prediction, training, and MLflow services (with optional training profile support and runtime DNS handling for trainer-api).