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service-mesh-observability

8.1

by wshobson

183Favorites
365Upvotes
0Downvotes

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.

observability

8.1

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

Excellent comprehensive skill for service mesh observability. The description clearly articulates when to use this skill (mesh monitoring, latency debugging, SLO implementation). Task knowledge is strong with 7 detailed templates covering Istio/Linkerd with Prometheus, Grafana, Jaeger, Kiali, and OpenTelemetry, plus PromQL queries and alerting rules. Structure is logical with core concepts, templates, best practices, and resources. The skill demonstrates high novelty as setting up complete mesh observability with distributed tracing, metrics pipelines, and visualization would require significant tokens and expertise for a CLI agent to assemble from scratch. Minor deduction on novelty since some individual components (e.g., installing Prometheus) are straightforward, though the integrated approach adds substantial value. Very well-documented with clear diagrams, tables, and actionable configurations.

LLM Signals

Description coverage9
Task knowledge9
Structure8
Novelty7

GitHub Signals

26,432
2,921
268
15
Last commit 3 days ago

Publisher

wshobson

wshobson

Skill Author

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Publisher

wshobson avatar
wshobson

Skill Author

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