Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
71
57%
Does it follow best practices?
Impact
95%
1.39xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/cloud-infrastructure/skills/service-mesh-observability/SKILL.mdPrometheus alerting rules for Istio mesh
PrometheusRule CRD
100%
100%
istio-system namespace
100%
100%
reporter=destination filter
100%
100%
istio_requests_total metric
100%
100%
Error rate threshold
100%
100%
Error rate severity critical
0%
100%
Latency metric name
100%
100%
Latency threshold 1000ms
100%
100%
Latency severity warning
100%
0%
Alert for duration
100%
100%
Cert expiry alert
100%
100%
P99 quantile function
100%
100%
Distributed tracing configuration and sampling
Jaeger image version
0%
100%
Zipkin port 9411
30%
100%
Dev sampling 100%
100%
100%
Prod sampling 1-10%
100%
100%
OTel batch timeout
0%
50%
OTel OTLP gRPC endpoint
100%
100%
OTel Zipkin receiver
100%
100%
Telemetry v2 randomSampling
100%
100%
Jaeger Zipkin env var
0%
100%
istio-system namespace
0%
100%
No 100% prod sampling
100%
100%
Mesh visualization, dashboards, and metrics queries
Kiali prometheus URL
100%
100%
Kiali tracing URL
100%
100%
Kiali grafana URL
100%
100%
nodeGraph topology panel
0%
100%
reporter=destination in queries
100%
100%
istio_requests_total metric
100%
100%
Latency P99 PromQL
100%
100%
Scrape interval 15s
100%
100%
ServiceMonitor CRD
100%
100%
Kiali CRD apiVersion
0%
100%
istio-system namespace placement
100%
100%
Error rate panel uses 5xx filter
100%
100%
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Table of Contents
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