Beyond the Code: Evolving OpenSearch's Release Process for...
summary
OpenSearch automates builds, tests, signing and publishing but keeps concrete controls: incremental builds cut build time ~34%, parallelized workflows shave release prep by ~68%, and smoke tests plus OpenSearch Benchmarks run integration, BWC and performance suites. Distribution has 27 backend and 15 frontend plugins so strict version mapping prevents a simple one‑click release; instead a Slack AI bot called Oscar orchestrates Jenkins jobs, queries metrics.opensarch.org, files GitHub failure issues with reproduce commands, and already reduces workflow time ~80% in the 3.2.0 cycle.
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chapters (9)
- 0:00OpenSearch release process
- 4:55Distribution release cycle
- 8:06What's new in releases
- 13:38One-click release challenges
- 16:48Automation and documentation gaps
- 19:15AI bot Oscar for releases
- 28:50Live demo of Oscar
- 37:14Oscar's impact and future
- 40:55Q&A
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