Using SLOs for Continuous Performance Optimizations of Your K8s Workloads
Talkat KubeCon + CloudNativeCon North America 2021 · on Wednesday, 2021-10-13· at 16:30· Room 408 AB + Online·
summary
Keptn implements automated SLO-based performance validation for Kubernetes by pulling SLIs from Prometheus, Dynatrace or other providers, grading builds on a 0–100 score with weights and regression checks, and gating CD pipelines via event-driven cloud events. Demos show detection of an N+1 problem that produced 26,000 database calls, end-to-end sequences using Helm, Jenkins/GitLab, JMeter and Litmus, and real users cutting manual analysis from 30–60 minutes to 1 minute while claiming ~90% less custom automation code.
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chapters (9)
- 0:00Introduction
- 1:30Performance Patterns
- 5:20Captain
- 12:08Datadriven approach
- 18:11Real world examples
- 20:33Summary
- 22:45Learn more
- 23:35Live demo
- 28:45Wrap up
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