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Error Grouping

Automatic fingerprinting and grouping of identical errors with frequency tracking, frequency buckets based on event counts, and status management.

Last updated: 27 Oct 2026

Error grouping automatically combines identical errors into single groups — instead of seeing 1,000 individual errors for the same bug, you see one error with a count of 1,000. This reduces noise and helps you focus on unique issues.

Reduces Noise

Identical errors grouped together

Tracks Frequency

See occurrence count and trends

Automatic

No configuration needed

How errors are grouped#

Errors with the same message, stack trace and platform are grouped into one issue. Any difference in the message or stack trace text starts a new issue.

When Errors Are Grouped#

Grouped Together
  • Same error in different user sessions
  • Repeated error from same user
  • Same error across environments and releases (if same platform)
NOT Grouped
  • Different error messages
  • Different stack traces (even a changed line number)
  • Different platforms (flutter_web vs flutter_android)

Understanding Error Groups#

Each group tracks:

1,247

Occurrences

2025-11-10

First Seen

2025-11-12

Last Seen

Open

Status

Frequency Buckets#

Each group is placed in a frequency bucket based on its event count (the Issues page's Frequency filter; the API calls this severity):

FrequencyEventsColor
Very frequent> 100
Frequent51 - 100
Recurring11 - 50
Rare1 - 10

Managing Error Groups#

  • Status Management: Open, In Progress, Resolved, Archived, Ignored
  • Bulk Operations: Select several groups to change their status or delete them
  • Filtering: Filter groups by status, frequency, time range, platform, environment, release, or search text

Best Practices#

Focus on High-Count Errors First

Groups with 51+ events usually impact the most users

Use Status Management

Keep error statuses updated for team coordination

Monitor First/Last Seen

Track when errors appear and whether they recur after fixes (resolved groups are not reopened automatically)

Use Release Versions

Correlate error groups with specific deployments

Archive Old Errors

Archive issues you no longer expect to see to keep the dashboard clean

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