distributed_tracing

What problem does it solve?

This Skill provides deep visibility into the flow of requests across distributed microservices, enabling quick identification of performance bottlenecks and errors.

Core Features & Use Cases

• End-to-End Request Tracking: Follow a single request as it traverses multiple services.
• Performance Bottleneck Identification: Pinpoint slow operations within the request path.
• Error Debugging: Trace the origin and propagation of errors across services.
• Use Case: When a user reports slow response times on the platform, use this Skill to trace their specific request, identify which service is causing the delay, and analyze its internal operations.

Quick Start

Implement distributed tracing for your Python Flask application using OpenTelemetry and Jaeger.