tarek-clarke/resilient-rap-framework
A resilient, fault‑tolerant telemetry analytics pipeline designed to validate, benchmark, and stress‑test high‑frequency sensor data streams under real‑world failure conditions. Includes chaos testing, DLQ repair, GPU‑accelerated ingestion, and end‑to‑end reliability validation for motorsport‑grade telemetry environments.
2 best points · 2 comments · 2 Hacker News posts · 6 GitHub stars · View on GitHub
Hacker News discussions
- Show HN: Resilient RAP – A self-healing pipeline for telemetry using embeddings (2 points, 1 comments, by tarekclarke, 2026-02-05)
- Show HN: Resilient RAP: A self-healing data pipeline with <20ms BERT inference (2 points, 1 comments, by tarekclarke, 2026-02-20)