PythonSet Up Performance
With performance monitoring, Sentry tracks your software performance, measuring metrics like throughput and latency, and displaying the impact of errors across multiple systems. Sentry captures distributed traces consisting of transactions and spans, which measure individual services and individual operations within those services. Learn more about our model in Distributed Tracing.
If you’re adopting Performance in a high-throughput environment, we recommend testing prior to deployment to ensure that your service’s performance characteristics maintain expectations.
Sentry can integrate with OpenTelemetry. You can find more information about it here.
Activate performance monitoring by setting enable_tracing to True.
Note that enable_tracing is available in Sentry Python SDK version ≥ 1.16.0. To enable tracing in older SDK versions (≥ 0.11.2), use traces_sample_rate=1.0.
import sentry_sdk
sentry_sdk.init(
dsn="https://examplePublicKey@o0.ingest.sentry.io/0",
enable_tracing=True,
)
Learn more about performance monitoring options, how to use the traces_sampler function, or how to sample transactions.
Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").
- Package:
- pypi:sentry-sdk
- Version:
- 1.45.0
- Repository:
- https://github.com/getsentry/sentry-python
- API Documentation:
- https://getsentry.github.io/sentry-python/