This screen cast shows how to use the MongoDB probe in JProfiler that has been added in JProfiler 8.0. The profiled application is the vert.x web demo application that uses mongodb as a storage option. MongoDB events are correlated to the the activity in the web application and it is shown how the exclusion of primitive data leads to a useful definition of hots spots.
This screen cast shows how the class loaders probe can be used to debug class loading and to solve class loader memory leaks.
This screen cast shows how the probe tracker can be used to record fine-grained chronological information for selected hot spots and control objects, such as JDBC connections. The probe tracker is available for all probes in JProfiler.
The screen cast below shows the capabilities of the JPA/Hibernate probe in JProfiler. It presents the events view of the probe that shows a chronological progression of persistence operations as well as the hot spots view that shows back traces and associated JDBC statements.
In the screen cast below I show how to use the “Run interceptor script” trigger action in a method trigger to print out some internal state of the application for debugging purposes. This is done without recompiling or restarting the application.
This version is outdated. There is a newer version of this screen cast.
In this screen cast I show how to create a simple custom probe that measures how often the paint method of the “Animated Bezier Curve” demo is called together with clip bounds information. The example custom probe features events, telemetries and hot spots view.
In this screencast, I show what inspections are available in in JProfiler’s heap walker and what they are capable of. Also featured is the powerful custom grouping inspection that lets you group object sets with a code snippet that is directly entered in the JProfiler GUI.
In this screencast, I discuss the graph view of the heap walker (new in JProfiler 7.0) and how to search for reference paths between two selected objects. Also, I show how to resolve transitive references in the biggest objects view with the help of the graph view.
In the screencast below, I show the powerful filtering capabilities in the outgoing reference view of the heap walker that allow you to find objects based on primitive field values, outgoing references or code snippets.
In the screencast below, I show how exceptional method recording and request tracking are combined for analyzing long-running AWT events in JProfiler.