Error Tracking Best Practices for Production

Production-Ready Error Tracking

Implementing error tracking in production requires careful planning to ensure you capture meaningful data without overwhelming your team or impacting performance.

Error Grouping and Deduplication

Effective error grouping reduces noise and helps you focus on actionable issues. Group similar errors together based on stack trace, error message, and context.

Sampling and Rate Limiting

// Example: 10% sampling rate
if (Math.random() < 0.1) {
    sendErrorToTrackingService(error);
}

For high-traffic applications, implement sampling to avoid overwhelming your error tracking service:

Context and Metadata

Include relevant context with each error to make debugging easier:

Essential Context Data

• User ID and session information
• Browser and device details
• Application version and environment
• Custom tags and categories
• Performance metrics
• User actions leading to the error

Alerting Strategy

Set up intelligent alerting to notify your team of critical issues without creating alert fatigue. Use different severity levels and escalation procedures.