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sentry-setup-metrics

Configure Sentry SDKs for custom metric tracking in JavaScript, Python, and Ruby.

45|20|Updated Aug 31, 2024
Search Tags:#performance#monitoring#metrics#observability#instrumentation#sentry
One-click install
npx skills add https://github.com/richardadonnell/Upwork-Job-Scraper --skill sentry-setup-metrics-richardadonnell
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentry-setup-metrics
Source: https://github.com/richardadonnell/Upwork-Job-Scraper/tree/main/.agents/skills/sentry-setup-metrics
Command: npx skills add https://github.com/richardadonnell/Upwork-Job-Scraper --skill sentry-setup-metrics-richardadonnell

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of integrating custom metrics into your application using Sentry, enabling you to track key performance indicators and application behavior effectively.

Core Features & Use Cases

  • Track Counters, Gauges, and Distributions: Implement various metric types to monitor application health and performance.
  • Multi-language Support: Provides setup instructions for JavaScript, Python, and Ruby applications.
  • Use Case: You need to monitor the number of API calls made to your service, track the current number of items in a processing queue, or measure the distribution of response times for specific endpoints.

Quick Start

Use the sentry-setup-metrics skill to add a counter metric named 'api_call' to your JavaScript application.

Frequently Asked Questions about sentry-setup-metrics

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

FAQPage Schema
How do I instrument custom Sentry metrics in my application?▼

You can track API calls, processing queue sizes, and response time distributions by configuring Sentry SDKs with counters, gauges, and distributions, providing operational visibility through detailed event logging in JavaScript, Python, and Ruby projects.

Can I set up Sentry performance monitoring for Python and Ruby projects?▼

Yes, you can set up Sentry performance monitoring in Python and Ruby projects by configuring the Sentry SDK to track counters, gauges, and distributions, ensuring operational visibility across supported multi-language environments.

What are the best practices for Sentry metric naming and size?▼

Effective Sentry metric data collection requires adhering to specific metric naming and size best practices alongside using specific SDK versions, ensuring your counters, gauges, and distributions accurately capture application performance monitoring data.

Do I need specific SDK versions to track counters and gauges in Sentry?▼

Yes, configuring Sentry SDKs for custom metric tracking requires specific SDK versions to ensure proper instrumentation of counters, gauges, and distributions, enabling effective data collection and application performance monitoring across your projects.

How do I measure response time distributions using Sentry?▼

Measure response time distributions by configuring Sentry SDKs to track distribution metrics, capturing detailed event logging for application performance monitoring and operational visibility across your JavaScript, Python, or Ruby projects.

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