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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.
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522
commits
10
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refactor(data): final consolidation of telemetry hierarchy, removed redundant nesting and archive
ac603baView on GitHubrefactor(data): refined hierarchy with improved frequency detection
71fa7f8View on GitHubrefactor(data): reorganize telemetry results into hardware-first hierarchy, fixed .gitignore
37781c2View on GitHubrefactor(data): reorganize and whitelist telemetry metadata (json, csv, txt, md)
8e57233View on GitHubfix(readme): correct Licence badge to show PolyForm Non-commercial
c36100fView on GitHubci: add jgehrcke/github-repo-stats workflow to track lifetime repository clones and views
e8bc915View on GitHubci: copy README.md to index.md to fix GitHub Pages 404 at root URL
478c01dView on GitHubci: add jekyll-build-pages step to compile README.md to index.html
4d8abdbView on GitHubfix(git): remove phantom .claude submodule to unbreak github actions checkout
1d0dfe7View on GitHubci: add explicit GitHub Actions workflow for Pages deployment to bypass internal errors
932d527View on GitHubfix(ci): add missing fastapi dependencies to requirements-ci.txt to restore coverage
bce037fView on GitHubfix(ci): point stress test to telemetry_gpu_stress_test.py after repo declutter
8c57799View on GitHubchore: declutter repo, add CI badge, and audit .gitignore
d795a91View on GitHub