Within minutes after installing Sentry, software teams are able to trace performance issues back to a poor performing API call as well as surface all related code errors. Engineering Managers and Developers now have a single tool to optimize the performance of their code and deliver fast customer experiences.
See local variables in the stack for prod errors, just like in your dev environment.
Introspect more deeply into the runtime and jump into the frame to get additional data for any local variable.
Filter and group Python exceptions intuitively to eliminate noise.
Aggregate errors by details like HTTP request, hostname, and app version to see what’s new, a priority, or a trend.
Assign custom tags to reproduce the error environment specific to your application, business, and users.
- “How actionable is the error? Can I snooze the alert?”
- “Which lip sync cat fail video threw the exception?”
- “In which app release did the Python bug occur?”
- “Did the app crash in search, load, or update?”
- “Was it the kraken?”
Improve workflow with a full view of releases so you can mark errors as resolved and prioritize live issues.
Learn in which version a bug first appeared, merge duplicates, and know if things regress in a future release.
Add commit data to automatically suggest an owner of each Python error and instantly send deploy emails.