Is service visualization included?

Yes, it includes configurations for Kiali to visualize Istio service topology and Linkerd Viz for live traffic inspection and dependency mapping.

Does this skill support both Istio and Linkerd?

Yes, it includes specific configuration templates and commands for both Istio (utilizing Prometheus, Jaeger, and Kiali) and Linkerd (via the Viz extension).

Can I use this for setting up Service Level Objectives (SLOs)?

Absolutely. The skill provides specialized Prometheus queries and alerting rules designed to track and alert on service communication health and SLO compliance.

How does it help with distributed tracing?

It provides ready-to-use templates for Jaeger deployment and OpenTelemetry integration, including guidance on sampling strategies and header propagation.

What metrics are prioritized by this skill?

The skill focuses on the Four Golden Signals: Latency (P50/P99), Traffic (requests per second), Error rates (5xx), and Saturation (resource utilization).

Service Mesh Observability

Name: Service Mesh Observability
Author: Tahir-yamin

byTahir-yamin

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分析と監視

Implements end-to-end monitoring, distributed tracing, and performance visualization for Istio and Linkerd service meshes.

概要

This skill provides a comprehensive framework for implementing the three pillars of observability—metrics, traces, and logs—within service mesh architectures. It enables developers and DevOps engineers to establish golden signals (latency, traffic, errors, saturation), configure Prometheus and Grafana dashboards, deploy Jaeger for distributed tracing, and utilize visualization tools like Kiali. By offering ready-to-use templates for Istio and Linkerd, it simplifies the process of debugging latency, identifying service dependencies, and maintaining SLOs in complex microservices environments.

主な機能

3 GitHub stars
Pre-configured Prometheus queries for Istio golden signals and latency P99 tracking
Implementation of the Three Pillars of Observability (Metrics, Traces, Logs)
Standardized alerting rules for high error rates and mesh certificate expiration
Service mesh visualization templates for Kiali and Linkerd Viz dashboards
Distributed tracing setup with Jaeger and OpenTelemetry collector integration

ユースケース

Troubleshooting cross-service latency and intermittent communication errors in production
Setting up comprehensive monitoring for a new Kubernetes-based service mesh deployment
Defining and monitoring Service Level Objectives (SLOs) for critical microservices

概要

主な機能

3 GitHub stars
Pre-configured Prometheus queries for Istio golden signals and latency P99 tracking
Implementation of the Three Pillars of Observability (Metrics, Traces, Logs)
Standardized alerting rules for high error rates and mesh certificate expiration
Service mesh visualization templates for Kiali and Linkerd Viz dashboards
Distributed tracing setup with Jaeger and OpenTelemetry collector integration

ユースケース

Troubleshooting cross-service latency and intermittent communication errors in production
Setting up comprehensive monitoring for a new Kubernetes-based service mesh deployment
Defining and monitoring Service Level Objectives (SLOs) for critical microservices