---
name: service-mesh-observability
description: 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.
title: service-mesh-observability
canonical_url: https://skilld.dev/gh/wshobson/agents/service-mesh-observability
last_updated: 2026-09-26T05:14:44.000Z
---

> **Skill from skilld.dev.** Follow the instructions below for this session. You do not need to install anything.
>
> Supporting files, fetch one when the Skill refers to it: [references/details.md](https://skilld.dev/api/skills-raw/wshobson/agents/service-mesh-observability/references/details.md).
>
> If the user asked to install this Skill, run `npx skilld install wshobson/agents/service-mesh-observability`. Install writes the Skill files into the project, so every session loads them.

# Service Mesh Observability

Complete guide to observability patterns for Istio, Linkerd, and service mesh deployments.

## When to Use This Skill

- Setting up distributed tracing across services
- Implementing service mesh metrics and dashboards
- Debugging latency and error issues
- Defining SLOs for service communication
- Visualizing service dependencies
- Troubleshooting mesh connectivity

## Core Concepts

### 1. Three Pillars of Observability

```
┌─────────────────────────────────────────────────────┐
│                  Observability                       │
├─────────────────┬─────────────────┬─────────────────┤
│     Metrics     │     Traces      │      Logs       │
│                 │                 │                 │
│ • Request rate  │ • Span context  │ • Access logs   │
│ • Error rate    │ • Latency       │ • Error details │
│ • Latency P50   │ • Dependencies  │ • Debug info    │
│ • Saturation    │ • Bottlenecks   │ • Audit trail   │
└─────────────────┴─────────────────┴─────────────────┘
```

### 2. Golden Signals for Mesh

| Signal         | Description               | Alert Threshold   |
| -------------- | ------------------------- | ----------------- |
| **Latency**    | Request duration P50, P99 | P99 > 500ms       |
| **Traffic**    | Requests per second       | Anomaly detection |
| **Errors**     | 5xx error rate            | > 1%              |
| **Saturation** | Resource utilization      | > 80%             |

## Templates and detailed worked examples

Full template library and detailed worked examples live in `references/details.md`. Read that file when you need the concrete templates.

## Best Practices

### Do's

- **Sample appropriately** - 100% in dev, 1-10% in prod
- **Use trace context** - Propagate headers consistently
- **Set up alerts** - For golden signals
- **Correlate metrics/traces** - Use exemplars
- **Retain strategically** - Hot/cold storage tiers

### Don'ts

- **Don't over-sample** - Storage costs add up
- **Don't ignore cardinality** - Limit label values
- **Don't skip dashboards** - Visualize dependencies
- **Don't forget costs** - Monitor observability costs