New Relic
New Relic Error Analytics
The New Relic APM error analytics feature gives you useful tools to analyze and resolve errors being reported by your applications. For example, DevOps teams can:
- Assess the health of your applications with fine-grained data on error events over the past eight days.
- Select which parameters to use to group and show error information in the UI; for example, error class, error message, host, transaction name, etc.
- Drill down into stack trace details to diagnose and resolve specific errors.
- Identify continuing trends in error rates for periods longer than eight days.
apm > (select an app) > Events > Error analytics: Here is an example of the error events view, grouping by transactions and filtering to a specific transaction name. Both the error events and error metrics views include error traces.
The Error analytics events view includes these features:
| Error analytics UI | Features |
|---|---|
| Error rate chart | The first chart, Error rate, shows the overall error rate to provide context. |
| Top 5 errors chart | The second chart, Top 5 errors, shows error counts. Error counts reflect the totals for the selected group based on the current filters. By default, these are grouped by error class, but you can change the grouping option by selecting Back to groupings list. |
| Error traces table | The Error traces table includes links to individual traces with additional details. When grouping by error class and filtering by transaction name, the counts match those listed in the Error traces table. |
| Error frequency heatmap | The Error frequency heatmap uses shades of color to help you immediately see increasing severity levels of problems in time blocks. |
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