![]() While Performance monitors transactions to help you identify spans that are causing slow downs, the root cause of long-running spans with many tasks can be difficult to pinpoint. Sentry Performance allows you to collect traces, which use transactions and spans to represent the performance of individual services and operations within those services. ![]() Start with a transaction, dive deep with a profile Ready to get started with Profiling? Check out our pricing page for details. In this clickable demo, start with a slow function, then drill down to the application frames and full call tree to identify the lines of code causing the problem. Read on to find out how Sentry Profiling can boost your Performance workflow and help you fix sluggish UI frames – and to get the scoop on the latest SDK support. Plus, Sentry Profiling saves you hours of manual instrumentation - so you can build in performance as a feature from day one. Instead of guessing at spans or writing performance tests, you can see hot code paths in your application right away to quickly catch performance bottlenecks. Sentry Profiling collects data in production on the execution time of functions as they run, then aggregates the results for a comprehensive view of your application performance in every environment. Now generally available for all Python, Node.js, iOS, Android, and PHP users on our latest pricing plan, Profiling enhances Sentry Performance by pinpointing the lines of code causing a performance issue. We’ve built Sentry Profiling as a solution for these performance woes. Either way, getting to the root cause can be a frustrating and time-consuming experience. Maybe you missed adding instrumentation to something in the critical path, or you’re simply testing in an environment vastly different from the ones your users are experiencing in production. Users are complaining about slow load times and you’ve thrown logs, traces, and metrics - heck, the entire kitchen sink of performance monitoring - but you still can’t figure out the source of the bottleneck. ![]()
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