Error Tracking
Table of Contents
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