Error Tracking

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Set up comprehensive error tracking with Sentry to automatically capture, report, and analyze exceptions, performance issues, and application stability.

When to Use

• Production error monitoring
• Automatic exception capture
• Release tracking
• Performance issue detection
• User impact analysis

Quick Start

Minimal working example:

npm install -g @sentry/cli
npm install @sentry/node @sentry/tracing
sentry init -d

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Sentry Setup | Sentry Setup, Node.js Sentry Integration | | Express Middleware Integration | Express Middleware Integration | | Python Sentry Integration | Python Sentry Integration | | Source Maps and Release Management | Source Maps and Release Management, CI/CD Release Creation | | Custom Error Context | Custom Error Context | | Performance Monitoring | Performance Monitoring |

Best Practices

✅ DO

• Set up source maps for production
• Configure appropriate sample rates
• Track releases and deployments
• Filter sensitive information
• Add meaningful context to errors
• Use breadcrumbs for debugging
• Set user information
• Review error patterns regularly

❌ DON'T

• Send 100% of errors in production
• Include passwords in context
• Ignore configuration for environment
• Skip source map uploads
• Log personally identifiable information
• Use without proper filtering
• Disable tracking in production