Deep Dive: Scalability SIG
summary
Scalability SIG lays out concrete practices: public clusterloader and kubemark test suites run as PR and postsubmit jobs (100‑ and 500‑node PR tests, a 5,000‑node postsubmit), collection of CPU/memory profiles from all control‑plane components, and a declarative load generator for repeatable scenarios. Recent wins include node heartbeat reduction, kubelet switching from polling to watches for Secrets, a revised events API, scheduler node‑subset ranking, and IPVS GA; regressions still arrive from Go and kernel changes and tests are expanding to catch them.
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chapters (6)
- 0:00Start
- 3:53Scalability Definition & Goals
- 8:53Monitor & Measure Performance
- 13:51Coordinate & Contribute Improvements
- 17:43Persevere & Protect from Regressions
- 23:36Consult & Coach the Community
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