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Showing content from https://docs.sentry.io/platforms/python/tracing/ below:

Set Up Tracing | Sentry for Python

Set Up Tracing With Tracing, Sentry tracks your software performance, measuring metrics like throughput and latency, and displays the impact of errors across multiple systems. Prerequisites

You have the Python SDK installed (version 0.11.2 or higher)

Configure

To enable tracing in your application, adjust the traces_sample_rate based on the number of trace samples you want to send to Sentry by adding the highlighted code snippet below. (Setting a value of 1.0 will send 100% of your traces.)

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import sentry_sdk

sentry_sdk.init(
    dsn="https://examplePublicKey@o0.ingest.sentry.io/0",
    
    
    send_default_pii=True,
    
    
+   traces_sample_rate=1.0,
)

If you’re adopting Tracing in a high-throughput environment, we recommend testing prior to deployment to ensure that your service’s performance characteristics maintain expectations.

Learn more about tracing options, how to use the traces_sampler function, or how to sample transactions.

Next Steps

Span Lifecycle
Learn how to add attributes to spans in Sentry to monitor performance and debug applications.
Sending Span Metrics
Learn how to add attributes to spans in Sentry to monitor performance and debug applications
Set Up Distributed Tracing
Learn how to connect events across applications/services.
Configure Sampling
Learn how to configure sampling in your app.
Instrumentation
Learn what Sentry instruments automatically, and how to configure spans to capture tracing data on any action in your app.
Troubleshooting
Learn how to troubleshoot your tracing setup.

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