Stephan Schwarz walks through his systematic approach to performance testing Kubernetes applications.

You will learn:

- Why shared Kubernetes components skew results and how ingress controllers, service meshes, etc. create testing challenges that require careful consideration of the entire request chain
- Practical approaches to HPA configuration, including how to account for scaling latency and planning for spare capacity based on your SLA requirements
- The role of observability tools like OpenTelemetry in production environments where load testing isn't feasible, and how distributed tracing helps isolate performance bottlenecks across interdependent services

Watch (or listen to) it here: https://ku.bz/yY-FnmGfH

🌟 This episode is brought to you by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training https://learnk8s.io/training

With @Birthmarkb "Not Open Source" Farrell