Application Profiling

Deploy continuous application profiling

Improve service performance with always on application profiling.

Gain full visibility into the performance of your application code in production, with minimal overhead and at all times
Quickly find the most time-consuming parts of your code with a breakdown of application profiling data for every distributed request
Optimize your application’s code and user experience by analyzing wall time, lock, socket I/O, and file I/O code profiles

Proactively profile application performance

Optimize CPU utilization, improve memory allocation, and save on compute costs

Reduce cloud costs by detecting and optimizing the methods in your production code that consume the most CPU and memory
Leverage CPU and memory profile aggregation across hosts, services, and code versions to optimize the resource consumption in production
Track CPU and memory consumption by method over time and compare application profiles to quickly explain performance regressions after code deployments

Get complete visibility into code-level performance

Put profiling data in context to gain a deeper understanding of your application performance.

Analyze 100% of your code in production including methods, classes, and threads across your entire stack
Seamlessly pivot between data from application profiling and distributed tracing with 1-click to identify the most resource-intensive requests
Get deeper insights into exceptions, garbage collection, I/O, locks, and packages with continuous observability and category breakdowns such as code cache, class loading, and heap size