Tools: Real‑Time ML Feature Pipeline (Go + Kafka + Python + Redis + TimescaleDB)

machinelearning #mlops #kafka #golang #python #realtime I built a real‑time ML feature pipeline that computes 15+ features with sub‑100ms latency. Stack: Go ingestion → Kafka → Python feature processor → Redis cache + TimescaleDB store → Feature API. It includes feature versioning, A/B testing, drift detection, DLQ, Prometheus, and Grafana dashboards. Run locally with Docker Compose and verify via included test scripts. https://github.com/judeszn/Real-time-ML-Feature-Pipeliine- Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse