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tracking-application-response-times

Name: tracking-application-response-times
Author: jeremylongshore

Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like "track response times", "monitor API performance", or "analyze latency".

TL;DR

Track and optimize response times across APIs, databases, and services to identify bottlenecks and improve performance.

What Is It

Monitor response times across API, DB, and service layers
Identify performance bottlenecks and degradation
Measure P50, P95, P99, average, and max response times
Provide actionable insights and optimization recommendations

Key Features

Tracks response times across API endpoints, DB queries, service calls
Generates percentile-based performance reports (P50, P95, P95)
Identifies bottlenecks and root causes of latency
Provides SLO compliance and trend visualizations
Integrates with APM and monitoring tools
Supports alerting for performance deviations
Correlates metrics with system resource usage
Delivers optimization recommendations with priorities

How to Use

1.Configure monitoring for specific endpoints or queries
2.Collect and analyze response time metrics (P50, P95, P99)
3.Compare metrics against SLOs and performance baselines
4.Identify bottlenecks and root causes
5.Generate optimization recommendations
6.Integrate with alerting and optimization tools

Guardrails & Gotchas

Verify monitoring agent installation
Check instrumentation configuration
Validate metric export endpoints
Ensure data storage availability
Review sampling configuration

GitHub Stats

Author

@jeremylongshore

Repository

jeremylongshore/claude-code-pl...

Stars

2,466

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