Error Tracking¶

The Error Tracking Explorer provides centralized analysis of error data in Application Performance Monitoring (APM). Through it, you can:

• View error history trends: Observe frequency change curves of specific error types or sources over time using charts such as Top List and Time Series.

• Analyze error distribution: Quickly locate high-frequency error sources, such as service error rates and resource endpoint error rates.

• Aggregate similar errors: Automatically group error requests with the same exception stack or similar error characteristics, avoiding repeated review of individual traces.

• ......

Data Display¶

The Error Tracking Explorer provides multiple professional analysis views in list and chart formats.

List¶

Displays detailed records and aggregated results of APM errors in the currently selected Workspace, including occurrence time, error type, error message, and associated services and resources. By default, it queries the current Workspace. You can also use the Workspace selector at the top to query multiple authorized Workspaces within the same site. For authorization and read-only rules, see Cross-Workspace Query Documentation.

In List mode, two analysis modes are available:

• All Errors

• Pattern

All Errors¶

Records all spans marked as errors (status=error) that contain an error type (error_type), and ultimately displays all error records that meet the conditions.

Data Details¶

In the Error Tracking Explorer, click any error to view its trace details, including service, error type, content, distribution chart, details, trace details, extended attributes, and associated logs, hosts, and network information.

When you open an error record from cross-workspace results, the details and associated queries use the source Workspace of that record.

Obsy Copilot Error Analysis¶

Guance provides one-click analysis of error data. It uses large language models to automatically extract key information from the data and, combined with online search engines and operational knowledge bases, quickly analyzes possible failure causes and provides initial solutions.

1. Click a single record to expand the details page.
2. Click Obsy Copilot Error Analysis in the upper-right corner.
3. Anomaly analysis starts automatically.

View Trace¶

On the details page, click the View Trace button in the upper-right corner. The system will display the complete call trace associated with this error in a new tab.

Export Data¶

Click the Export button to export the current trace details as a JSON file.

Pattern¶

Automatically groups similar errors and identifies high-frequency patterns, displaying information for the top 10,000 error spans in the selected time range. Similarity calculation is performed on error trace data based on clustering fields to extract common patterns, helping you quickly discover anomalous traces and locate issues.

By default, aggregation is performed based on the error_message field. You can customize the clustering fields, with up to 3 fields.

Pattern Details¶

In the Pattern list, click any error to view all associated traces.

On the associated traces page, you can sort the document count in ascending or descending order (descending by default).

Click a record in the associated traces to enter the details page. You can perform the following operations:

• View information such as the hosts and services where the error occurred and the error distribution.
• Click the icon in the upper-right corner of the details page to export the current data.
• Perform AI Analysis on the current error details.
• Click to jump to the trace associated with the current error details.

Charts¶

Based on the count, last, first, and count_distinct aggregation modes, data is filtered in chart form under the by condition. The following charts are included; select as needed:

• Top List
• Time Series
• Pie Chart
• Treemap
• Grouped Table Chart