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# Performance Tuning Guide

> For the full documentation index, see: https://docs.mulesoft.com/llms.txt

To achieve optimal performance from your Mule applications, you must evaluate both the applications
themselves and the environment in which they run. Although Mule 4 is designed to tune itself, your
applications might exhibit performance issues due to their initial construction or dependencies.

Similarly, for on-premises installations, you might need to tune the environment itself so that your
Mule applications can take full advantage of it. Because many variables influence it, tuning the
performance of your application requires some trial and error.

You can simplify performance tuning by using documented best practices and testing your applications
in ideal test environments. The following recommendations come from the Development and Services
Engineering teams and benchmarking efforts by MuleSoft Performance Engineering.

## Performance Tuning Summary

Optimizing the performance of your Mule apps requires the following actions:

- Applying tuning recommendations at the application level  
  See [Performance Tuning Recommendations](https://docs.mulesoft.com/mule-runtime/4.6/tuning-recommendations) for details.

- Considering tuning prerequisites and best practices before testing  
  See [Performance Test Validations](https://docs.mulesoft.com/mule-runtime/4.6/tuning-test-validations) for details.

- Monitoring performance during testing to determine the resources required by the Mule runtime
  engine (Mule)  
  See [Performance Monitoring](https://docs.mulesoft.com/mule-runtime/4.6/tuning-monitoring) for details.