Set Up Profiling

With profiling, Sentry tracks your software's performance by sampling your program's call stack in a variety of environments. This feature collects function-level information about your code and enables you to fine-tune your program's performance. Sentry's profiler captures function calls and their exact locations, aggregates them, and shows you the most common code paths of your program. This highlights areas you could optimize to help increase both the performance of your code and increase user satisfaction, as well as drive down costs.

Enable Performance Monitoring

Profiling depends on Sentry’s performance monitoring product being enabled beforehand. To enable performance monitoring in the SDK:

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import Sentry

SentrySDK.start { options in
    options.dsn = "https://examplePublicKey@o0.ingest.sentry.io/0"
    options.tracesSampleRate = 1.0
}

Check out the performance setup documentation for more detailed information on how to configure sampling. Setting the sample rate to 1.0 means all transactions will be captured.

By default, some transactions will be created automatically for common operations like loading a view controller/activity and app startup.

Enable Profiling

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import Sentry

SentrySDK.start { options in
    options.dsn = "https://examplePublicKey@o0.ingest.sentry.io/0"
    options.tracesSampleRate = 1.0 // tracing must be enabled for profiling
    options.profilesSampleRate = 1.0 // see also `profilesSampler` if you need custom sampling logic
    options.profileAppLaunches = true // experimental new feature to start profiling in the pre-main launch phase
}
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