Error Tracking¶

The Error Tracking Explorer centralizes the analysis of error data in APM. Through it, you can:

• View error history trends: Observe the frequency change curves of specific error types or sources over time using charts such as top lists and time series charts.

• 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 to avoid repeated viewing of individual traces.

• ......

Data Display¶

The Error Tracking Explorer provides multiple professional analysis views based on lists and charts.

List¶

Displays detailed records and aggregation results of APM errors in the current workspace, including occurrence time, error type, error message, associated services, and resources.

In list mode, two analysis modes are available:

• All Errors
• Pattern

All Errors¶

Records all spans marked as errors (status=error) and containing an error type (error_type), ultimately displaying all error records that meet the criteria.

Data Details¶

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

Obsy Copilot Error Analysis¶

Guance provides a one-click error data analysis capability. It leverages large models to automatically extract key information from the data, combined with online search engines and operation knowledge bases, to quickly analyze possible failure causes and provide preliminary solutions.

1. Click a single data entry to expand the details page.
2. Click "Obsy Copilot Error Analysis" in the upper right corner.
3. The anomaly analysis starts automatically.

View Trace¶

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

Data Export¶

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 the top 10,000 error span information within the selected time range. Based on clustering fields, it calculates the similarity of error trace data, extracts common patterns, and helps quickly discover abnormal traces and locate issues.

By default, aggregation is performed based on the error_message field. You can customize the clustering fields, with a maximum of 3 fields.

Pattern Details¶

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

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

Clicking any data entry in the associated trace list will take you to the details page. You can perform the following operations:

• View the host and service where the error occurred, error distribution, etc.
• 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.
• Jump to the associated trace of the current error details.

Chart¶

Based on the count, last, first, and count_distinct operation modes, data is filtered under the by condition in chart form. The following charts are available and can be selected as needed:

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