From Data Tsunami to Actionable Insights
Talkat OSPOCon @ Open Source Summit Europe 2024 · on Tuesday, 2024-09-17· at 16:00· Room 0.96-0.97 (Level 0)·
summary
Claims that CHAOSS metrics plus a sane data workflow turn overwhelming open source telemetry into actions, using Augur to populate a relational database and 8Knot (Dash/Plotly + Python) to visualize concrete metrics. Examples: pull request staleness, time‑to‑first‑response, review assignment rates, and organizational diversity checks inform whether to promote contributors to maintainers or fix processes. CHAOSS supplies MIT‑licensed practitioner guides and models (including Verizon’s viability model) that are usable, forkable, and applied successfully in demos.
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chapters (14)
- 0:00Welcome
- 1:51Open source metrics challenges
- 3:40Data science workflow
- 8:56Open source data sources
- 13:12Demo: 8knot with Augur
- 15:21Turning data into insights
- 16:47Chaos practitioner guides
- 19:11Metrics for responsiveness
- 21:19Contributor sustainability
- 22:43Diversity and project risk
- 24:30Security metrics
- 25:33Metrics tools
- 26:36Continuous improvement
- 27:44Q&A
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