tarek-clarke/resilient-rap-framework
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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.
4 mentions on Hacker News by 1 person: 3 stories, 1 comment · first 2026-02-05 · latest 2026-02-20
20082026
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…when the inputs change. I'd love to get some feedback on the performance or the architecture. Repo: https://github.com/tarek-clarke/resilient-rap-framework
comment by tarekclarke · 2026-02-20 · in Show HN: Resilient RAP: A self-healing data pipeline with <20ms BERT inference -
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Show HN: Resilient RAP: A self-healing data pipeline with <20ms BERT inferencestory by tarekclarke · 2026-02-20 · 1 comment
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Show HN: Self-healing data pipeline for F1 telemetry (Python and Type Inference)story by tarekclarke · 2026-02-09 · 1 comment
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Show HN: Resilient RAP – A self-healing pipeline for telemetry using embeddingsstory by tarekclarke · 2026-02-05 · 1 comment