Ignite: Istio+: Enhancing Observability and Tracing using Kiali and Jaeger

on YouTube ↗05m

" summary

Demo of an Istio service mesh on an enterprise Kubernetes cluster shows practical observability: Kiali draws a real-time service graph, flags failures in red, surfaces inbound/outbound metrics from Prometheus, and highlights a measured 2 second delay in the treating service that slows the app. Distributed traces use Jaeger with clickable trace dots and a tree view of span timing. Live controls demonstrate weighted routing/A-B shifts and the stack ships open source or integrated as OpenShift Service Mesh.

AI-written summary · about

" chapters (10)

1. 0:00Intro
2. 0:56KIALI SERVICE GRAPH
3. 1:11TRAFFIC DISTRIBUTION (% TRAFFIC)
4. 1:26RESPONSE TIME (TO CHECK DELAYS)
5. 1:56APPLICATION METRICS
6. 2:26IDENTIFY AND FIX INCONSISTENCIES IN ISTIO CONFIGS
7. 2:41CORRELATE RESULTS WITH TRACES
8. 3:11JAEGER TRACE GRAPH VIEW
9. 3:41UPCOMING - WEIGHTED ROUTING
10. 3:56OPENSHIFT SERVICE MESH INCLUDES KIALI AND JAEGER

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