Adaptive Application Learning

This section explains Adaptive Application Learning.

The NSX Advanced Load Balancer supports Adaptive Application Learning. In Adaptive Application Learning, the Controller takes control of adjusting WAF Learning parameters to facilitate effective Application Learning, while the SE only enforces it.

In Adaptive Application Learning, manual modification of sampling percentage and learning interval is not required.

To improve user experience and optimize resource usage while maximizing the application learning progress, a feedback system is created for tuning these parameters, once learning is enabled on an application.

For effective Application Learning, the following parameters are continuously adjusted by the Controller.

• Sampling Percentage

• Learning Interval

  
  
  

The following sections provide more information on how to manually use these parameters.