Data Driven DevOps

on YouTube ↗42m

" summary

Data-driven DevOps focuses on measurable changes: teams measure uptime, queue times, time-to-recover and pipeline success rates, and use those numbers to decide tools and org changes. Example outcomes include moving from colo to cloud to gain parallelism, backing up Jenkins jobs and persisting queues so teams can self-recover, and growing from one CI to 280 CI servers while restoring autonomy with monitoring and templates. Measured levers include queue time measurement, comparative dashboards, and moved from colo to cloud.

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" chapters (7)

1. 0:00Introduction and background
2. 3:41DevOps transformation journey
3. 8:53Building trust with metrics
4. 17:59Key operational metrics
5. 21:50Functional metrics for business value
6. 26:08JFrog’s data-driven improvements
7. 32:56Q&A on data collection and pipelines

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