The purpose of Real User Monitoring is to provide transparency about the usage (executions) and the performance (response times) of user interactions. It supports the monitoring request executions from different platforms with a unified user experience using a common look-and-feel and handling pattern.
The basic concept is to get all user interactions and the relevant server requests which are the correlated in the Real User Monitoring application. Request executions are rated not based on fixed thresholds but on historical values.
Real User Monitoring shall help IT users and Business users to understand how often applications are executed and what is the response times for the end-users.
Real User Monitoring in Cloud ALM collects front-end measurements and display these as following types:
Real User Monitoring in Cloud ALM collects back-end measurements and display these as following types:
Overview of the performance metric for services in your scope and your favorites in the selected time range is displayed as the Apdex (Application Performance Index).
This is an open standard developed for measuring the performance of applications. For more information, see https://en.wikipedia.org/wiki/Apdex.
The page consists of two sections, for more information, see the in-app help of the sections:
In the Overview the development of the Apdex over time for the services in scope is displayed.
In the Favorites the Apdex for your favorites is displayed.
The rating is done based on historical values.
By clicking on a request type you navigate to the Request Overview with filtered settings.
The Request Overview provides for the selected time range.
By choosing the icon in the last column you drilldown and see further details which (user) actions have been executed.
By choosing the icon in the last column you drilldown and see further details at which timestamps the actions have been executed.
Analysis View provides flexible selection of metrics and dimensions for analysis and download functionality
In this page, the most important front-end usage and performance metrics for the following frond-end request types are displayed: