How to Build Your Own Sentry

Track user actions and system events leading up to an error for better debugging context.

Attach screenshots, logs, and other files to error events for better context.

View network requests, responses, and console logs alongside session replays.

Upload source maps to map minified/compiled code back to original source for accurate error reporting.

Identify which commits likely introduced errors to speed up debugging.

Track custom metrics alongside error and performance data for holistic application insights.

Track the rate of new errors to identify sudden spikes or regressions.

Build custom queries to search and filter events based on any attribute.

Automatically detect sudden increases in error rates or performance degradation.

Configure how long error data is retained to meet compliance and cost requirements.

Automatically adjust sampling rates based on transaction type and error likelihood to optimize data costs.

Filter and sample events to control costs and focus on critical errors.

Prevent certain errors from being reported based on URLs, error messages, or other criteria.

Predict future error trends and potential system failures using machine learning.

AI-powered automatic grouping of similar errors to reduce noise and improve signal.

AI-powered suggestions for common fixes based on error patterns and best practices.

Monitor application performance metrics including transaction duration, throughput, and error rates.

Analyze CPU and memory usage patterns to identify performance bottlenecks in production.

Trace requests across distributed systems to identify where performance issues occur.

Track all administrative actions and changes for compliance and security auditing.

Role-based access control to manage team member permissions across projects.

Single sign-on support for enterprise authentication via SAML, OAuth, and other protocols.

Create personalized dashboards to visualize specific metrics and KPIs.

Centralized view of errors across multiple projects and teams.

REST and GraphQL APIs for programmatic access to error data and project management.

Create custom integrations with webhooks to send Sentry data to any external system.