Overview

Exception Replay in APM Error Tracking automatically captures production variable values so you can reproduce exceptions from Error Tracking issues.

Requirements

Supported languages

Python, Java, .NET, PHP

• Your Datadog Agent must be configured for APM.
• Your application must be instrumented with:
  • ddtrace for Python
  • dd-trace-java for Java
  • dd-trace-dotnet for .NET
  • dd-trace-php for PHP

Exception Replay is only available in APM Error Tracking. Error Tracking for Logs and RUM is not supported.

Setup

1. Install or upgrade your Agent to version 7.44.0 or higher.
2. Ensure that you are using:
   • ddtrace version 1.16.0 or higher.
   • dd-trace-java version 1.47.0 or higher.
   • dd-trace-dotnet version 2.53.0 or higher.
3. Set the DD_EXCEPTION_REPLAY_ENABLED environment variable to true to run your service with Error Tracking Exception Replay enabled.

Redacting sensitive data

After you enable Sensitive Data Scrubbing, by default, variable data linked to specific identifiers deemed sensitive, such as password and accessToken, is automatically redacted. Enable Sensitive Data Scrubbing rules in Datadog. See the full list of redacted identifiers.

You can also scrub variable data for PII by:

• Creating custom identifier redaction.
• Redacting based on specific classes or types.
• Creating a Sensitive Data Scanner rule and applying it to logs that match the query dd_source:debugger.

To learn more about scrubbing variable data, see Dynamic Instrumentation Sensitive Data Scrubbing.

Getting started

1. Navigate to APM > Error Tracking.
2. Click into any Python Error Tracking issue and scroll down to the stack trace component.
3. Expand stack frames to examine captured variable values.

Troubleshooting

A specific Python error trace does not have variable values

To keep the performance overhead of the feature at a minimum, error capturing is rate limited: one error per second includes variable data. If you don’t see variable values on a given trace:

1. Click View Similar Errors.
2. Expand the time range selection to find another instance of the exception where variable values were captured.

Further Reading

추가 유용한 문서, 링크 및 기사:

Learn about Error Tracking MonitorsDOCUMENTATION Learn about Error Tracking for APM Backend ServicesDOCUMENTATION Simplify production debugging with Datadog Exception ReplayBLOG