Overview
Error tracking enables you to capture, monitor, and resolve exceptions within your app, so you can ship quickly and confidently. Connect issues to user data and product context for faster, more effective debugging.
It's particularly useful for engineers who:
- Move fast and ship code often
- Work on full-stack, product-led engineering teams
- Prefer fewer tools within their development workflows
- Need to fully understand how errors impact their users and product flows
SDKs and frameworks
All the features you expect
But 10x better in the PostHog ecosystem
Session replay
Watch session recordings of users for more context and to help reproduce issues.
Product analytics
Graph exception events and create trends to understand how exceptions impact conversion and revenue.
Feature flags
Safely roll out fixes to users affected by an issue.
Person profiles
See all exception events for specific users in their event history log.
LLM analytics
Debug LLM calls and AI generations with full conversation traces and built-in error tracking.
Data warehouse
Write SQL to query exception events and product data directly from the data warehouse.
Next steps
Questions? Ask PostHog AI.
It's easier than reading through 1063 pages of documentation.