Can I use this for multiple programming languages?

Yes, it provides specific implementation patterns and code examples for Python (Flask), Node.js (Express), and Go.

What tools are supported for distributed tracing?

This skill supports Jaeger and Tempo for trace storage and visualization, using OpenTelemetry for standardized application instrumentation across services.

How does it handle production performance?

It implements best practices for probabilistic, rate-limiting, and adaptive sampling to ensure minimal CPU and network overhead in production environments.

Does this include deployment configurations?

Yes, the skill includes production-ready Kubernetes manifests (including Jaeger Operator) and Docker Compose configurations.

Distributed Tracing & Observability

Name: Distributed Tracing & Observability
Author: anton-abyzov

byanton-abyzov

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Analíticas y Monitorización

Implements comprehensive request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service dependencies.

This skill enables autonomous implementation of distributed tracing within microservices architectures using industry-standard tools like Jaeger, Tempo, and OpenTelemetry. It provides standardized patterns for instrumentation in Python, Node.js, and Go, allowing developers to visualize end-to-end request journeys, debug latency issues, and monitor service dependencies with precision. Whether you are troubleshooting error propagation or optimizing request paths, this skill provides the necessary configuration and code snippets to establish robust observability across your entire infrastructure.

Características Principales

01OpenTelemetry instrumentation for Python, Node.js, and Go

02Advanced sampling strategies (probabilistic, rate-limiting, adaptive)

03Trace-to-log correlation for enhanced troubleshooting

04Jaeger and Tempo setup via Docker Compose and Kubernetes

05Standardized context propagation across HTTP boundaries

0613 GitHub stars

Casos de Uso

01Mapping service dependencies and identifying failure points

02Implementing performance monitoring and SLO tracking for distributed systems

03Debugging high latency in complex microservices architectures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anton-abyzov/specweave distributed-tracing

For use in Claude.ai and ChatGPT

Download Skill