apm

Analyze APM traces to identify latency hotspots and correlate errors with trace IDs.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/nist0/CoDev --skill apm-nist0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: apm
Source: https://github.com/nist0/CoDev/tree/main/.github/skills/apm
Command: npx skills add https://github.com/nist0/CoDev --skill apm-nist0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify latency hotspots, analyze error correlation, and suggest instrumentation improvements for APM traces.

Core Features & Use Cases

  • Latency Analysis: Identify slow transactions and their contributing spans.
  • Error Correlation: Correlate errors with trace IDs and log entries.
  • Instrumentation Suggestions: Propose improvements for better APM data collection.
  • Use Case: When you need to diagnose performance issues in your application, this Skill can help you pinpoint the root cause.

Quick Start

Analyze APM traces for the service 'myapp' over the last 24 hours.

Frequently Asked Questions about apm

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

FAQPage Schema
How do I identify latency hotspots in application performance monitoring traces?

By analyzing APM traces, you pinpoint slow transactions and identify their contributing spans to locate latency hotspots. This approach reveals the exact service calls causing application performance degradation.

Can I correlate application errors with specific trace IDs and log entries?

Yes, you can correlate application errors with specific trace IDs and log entries. This error correlation maps exceptions directly to their originating spans, clarifying the root cause of failures across distributed systems.

Does this APM analysis approach work with log analytics platforms like ELK?

Yes, this APM analysis approach works with log analytics platforms like ELK or Log Analytics. It requires access to existing APM data and log aggregation tools to query traces and correlate errors.

How do I improve application instrumentation for better APM data collection?

To improve application instrumentation for better APM data collection, you analyze existing traces to find visibility gaps. The analysis suggests targeted instrumentation improvements to capture comprehensive latency and error metrics.

What is the best way to diagnose performance issues using distributed traces?

The best way to diagnose performance issues using distributed traces is to analyze APM data for latency hotspots and error correlation. This method pinpoints slow transactions and maps exceptions to their originating trace spans.