Continuous Profiler for AWS Lambda
Cette page n'est pas encore disponible en français, sa traduction est en cours.
Si vous avez des questions ou des retours sur notre projet de traduction actuel,
n'hésitez pas à nous contacter.
Datadog’s Continuous Profiler for AWS Lambda functions gives you visibility into the exact method name, class name, and line number in your Lambda code that is causing CPU or I/O bottlenecks.
Continuous Profiler for AWS Lambda is in Preview.
Usage
To enable profiling:
- Ensure you have installed the associated tracing library in your Lambda function.
- Set the
DD_PROFILING_ENABLED
environment variable to true
.
Data is available after a minimum of 60 execution seconds of the Lambda function.
The profiler works by spawning a thread that periodically wakes up and takes a snapshot of the CPU and heap of running code. This includes the profiler itself. If you want the profiler to ignore itself, set DD_PROFILING_IGNORE_PROFILER
to true
.
Support
Depending on your runtime, this feature requires the following tracer and layer versions:
Runtime | Minimum tracer version | Minimum layer version |
---|
Python | 1.4.0 | 62 |
Node.js | 2.22.1, 3.9.0 | 87 |
Further Reading
Documentation, liens et articles supplémentaires utiles: