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service-mesh-observability

Apply tracing, metrics, and visualization to diagnose service mesh latency and errors.

1|Updated Apr 27, 2026
Search Tags:#observability#grafana#service-mesh#istio#prometheus#linkerd#distributed-tracing
One-click install
npx skills add https://github.com/haxlys/skills --skill service-mesh-observability-haxlys
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: service-mesh-observability
Source: https://github.com/haxlys/skills/tree/main/vendored/wshobson-agents/plugins/cloud-infrastructure/skills/service-mesh-observability
Command: npx skills add https://github.com/haxlys/skills --skill service-mesh-observability-haxlys

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide end-to-end observability for Istio, Linkerd, and other service meshes, enabling effective tracing, metrics, and visualization to diagnose performance and reliability issues.

Core Features & Use Cases

  • Three Pillars of Observability: metrics, traces, and logs with golden signals for latency, traffic, errors, and saturation.
  • Templates and patterns for Istio and Linkerd deployments to collect, correlate, and visualize data across services.
  • Use Case: Troubleshoot cross-service latency, validate SLOs, and verify dependency graphs with dashboards and alerts.

Quick Start

Deploy a basic observability stack and enable tracing for your mesh to begin collecting metrics and logs immediately.

Frequently Asked Questions about service-mesh-observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up observability for an Istio or Linkerd service mesh?▼

Service mesh observability requires deploying Prometheus, Grafana, and Kiali configurations to collect metrics and visualize dependencies. This enables immediate collection of logs and application performance data across your Istio or Linkerd deployment.

What is the best way to troubleshoot cross-service latency in a service mesh?▼

Troubleshooting cross-service latency involves applying distributed tracing and golden signals. By correlating metrics for traffic, errors, and saturation, you can pinpoint bottlenecks and validate SLOs across dependent services.

Can I use OpenTelemetry-based tracing with Linkerd and Istio deployments?▼

Yes, OpenTelemetry-based tracing is supported for Linkerd and Istio deployments. The observability setup applies tracing patterns to collect, correlate, and visualize data across services within the mesh architecture.

What are the golden signals I need to monitor for service mesh reliability?▼

The golden signals for service mesh reliability are latency, traffic, errors, and saturation. Tracking these metrics alongside distributed traces and logs provides end-to-end visibility into mesh performance and health.

Does service mesh observability work with both Istio and Linkerd?▼

Yes, service mesh observability works with both Istio and Linkerd. It provides specific templates and patterns for each platform to collect metrics, verify dependency graphs, and configure visualization dashboards.

How do I visualize service dependencies and validate SLOs in a microservices environment?▼

You visualize service dependencies and validate SLOs by configuring Grafana and Kiali dashboards. These tools map dependency graphs and apply golden signal metrics to ensure microservices meet reliability targets.

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