The Full Picture: Visualizing Service "Fullness" To Rethink Saturation Prevention - Tal Nordan
Service saturation Envoy proxy Ebpf Cilium Sre Four golden signals Kubernetes Cloud native Capacity planning Observability Reliability engineering Kubecon
This advanced talk from KubeCon explores how to visualize and measure service saturation directly rather than through indirect proxies like CPU or queue depth. The speaker presents an open-source solution extending Envoy proxy with eBPF and Cilium integration to compare live concurrent requests against true concurrency limits. Ideal for SREs and platform engineers dealing with capacity planning and reliability in cloud-native systems.
Related videos
Taming Observability at Scale in a Multi-Cluster Kubernetes Platform at Bloom... Joe Nathan Abellard
Panel: Telemetry That Matters - Diana Todea, Antonio Jimenez Martinez & Laura Luttmer
When the Cloud Fails: Debugging the "Undocumented" - Dhruv Jain, Gojek (GoTo Group) Indonesia
AI-Powered Root Cause Analysis at Scale: From Theory To Production... Letícia Mota & Yevgeny Gladun
Webhook Topology and Admission Latency: Lessons from Migration - Tanat Lokejaroenlarb, Adevinta
DNS Tracing & Metrics Via eBPF in OpenTelemetry- Endre Sara, Causely & Nikola Grcevski, Grafana Labs
Sponsored Keynote: Scaling Platform Ops with AI Agents: Troubleshootin... J. Palma & N. Yellin (ASL)
Rab Ne Bana Di Jodi - Why Platforms & AI Need Each Other - Ram Iyengar, Cloud Foundry Foundation
Keynote: Cloud Native at Bharat Scale, How Rapido Scaled to 7+ Mi... Srivatsa Katta & Adarsh K Kumar
Disaster Recovery in Action with Kafka and Strimzi | Mickael Maison and Gantigmaa Selenge, IBM
From Running to Operating: Real-World Strimzi in Production | Rajith Attapattu, Randoli
