Protecting the Kubernetes API from Observability Tools Overload
CNCF [Cloud Native Computing Foundation] via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
AI Engineer - Learn how to integrate AI into software applications
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 50% Off
One plan covers every Professional Certificate on Coursera. 50% off Coursera Plus Annual for 10 days only — price increases June 17.
Unlock All Certificates
This conference talk from Grafana Labs presenters Mario MacÃas and Terra Tauri shares a cautionary tale about overloading the Kubernetes API when implementing observability solutions. Learn how the team accidentally took down their largest production cluster by deploying tools that made excessive API calls. Discover the practical techniques they developed to protect the Kubernetes API while maintaining full observability functionality, including configuration changes and service implementations that act as shields between information-hungry tools and the API itself. The presentation explains how to properly integrate pod and service metadata into network and request telemetry for creating effective service graphs without compromising cluster stability.
Syllabus
C.A.L.L.I.N.G. Now I'm Calling You, Calling You Now - Mario MacÃas & Terra Tauri, Grafana Labs
Taught by
CNCF [Cloud Native Computing Foundation]