What metrics does the Response Time Tracker provide?

The skill tracks P50, P95, and P99 percentiles, as well as average and maximum response times across various application layers.

Can I monitor specific database queries?

Yes, the skill allows for granular monitoring, enabling you to track the execution time of individual database queries to pinpoint data-layer bottlenecks.

Does it work with third-party services?

Yes, the skill can monitor external service calls to identify if performance issues are originating from third-party API dependencies.

How does this skill help with SLOs?

By providing real-time tracking and reporting against response time targets, it helps developers ensure their services meet defined Service Level Objectives.

Application Response Time Tracker

Name: Application Response Time Tracker
Author: jeremylongshore

byjeremylongshore

•

884

分析と監視

Tracks and optimizes application performance by monitoring response times across APIs, databases, and background execution tasks.

概要

This skill provides Claude with advanced observability capabilities, allowing it to monitor and analyze latency across your entire application stack. By tracking API endpoints, database queries, external service calls, and background jobs, the skill generates detailed performance reports including P50, P95, and P99 percentiles. It is an essential tool for developers needing to identify hidden bottlenecks, maintain strict Service Level Objectives (SLOs), and proactively address performance degradation before it impacts the end-user experience.

主な機能

Automated identification of performance bottlenecks
Granular tracking for specific endpoints and background jobs
Full-stack latency monitoring for APIs, databases, and services
884 GitHub stars
Proactive alerting for performance degradation
Detailed percentile analysis (P50, P95, P99, Avg, Max)

ユースケース

Diagnosing and resolving slow authentication or API endpoints
Optimizing database query performance for high-traffic catalogs
Monitoring Service Level Objectives (SLOs) in production-like environments

概要

主な機能

Automated identification of performance bottlenecks
Granular tracking for specific endpoints and background jobs
Full-stack latency monitoring for APIs, databases, and services
884 GitHub stars
Proactive alerting for performance degradation
Detailed percentile analysis (P50, P95, P99, Avg, Max)

ユースケース

Diagnosing and resolving slow authentication or API endpoints
Optimizing database query performance for high-traffic catalogs
Monitoring Service Level Objectives (SLOs) in production-like environments