Refreshed JProfiler IDEA plugin for the new UI

Kotlin 2.0 features a total rewrite of the Kotlin compiler known as "Kotlin K2". IntelliJ IDEA will remove support for the old compiler in version 2024.3 impacting all plugins that depend on the Kotlin plugin, such as the JProfiler IDEA plugin.

The newest version of the JProfiler IDEA plugin for IntelliJ IDEA now includes support for Kotlin K2 mode. This means that the JProfiler plugin no longer prevents switching to K2 mode in IntelliJ IDEA 2024.2 and is now ready for IntelliJ IDEA 2024.3 where K2 mode will be the default and plugins depending on the old API will no longer be loaded.

We took this opportunity to align the JProfiler plugin with another recent major change in IntelliJ IDEA: The new UI, which became the default in IntelliJ IDEA 2024.2. It is impractical for IDEA plugins to support both the old and the new UI, so we decided to change the UI once the new UI became widely used.

Why JVMTI sampling is better than async sampling on modern JVMs

In recent years, "async sampling" has been hyped as a better way of CPU profiling on the JVM. While this has been true for some time, it is no longer the case. This blog post explains the history of sampling and the current state of the art.

Garbage collector analysis in JProfiler

This screencast shows how to use the garbage collector probe in JProfiler. Having access to detailed information about the overall activity of the GC, as well as the single garbage collections, is crucial for tuning the garbage collector and achieving an optimal performance for your application.

Recording JFR snapshots with JProfiler

Recording JFR snapshots with JProfiler

This screencast shows JProfiler's versatile functionality as a JFR recording controller. As an example, a JFR recording on a Kubernetes cluster is recorded and the resulting snapshot is shown in JProfiler. In this context, you can see the wizard for configuring JFR recording settings. In addition, JFR recordings of terminated JVMs and the handling of externally started JFR recordings are demonstrated.

Enhanced JFR snapshot analysis with JProfiler

JProfiler has excellent support for viewing JFR snapshots. This screencast focuses on the event browser, which is specific to JFR snapshots, and also gives an overview of the other view sections that offer some of the same views as regular profiling sessions.

Working with probe events in JProfiler

Probe events are of great help in debugging specific performance problems. To find events of interest, JProfiler gives you a lot of tools to narrow down the set of displayed events.

This screencast shows the HTTP server and HTTP client probes, the JDBC and JPA/Hibernate probes as well as the socket probe when profiling a real-world application. The various ways of filtering probe events as well as duration and throughput histograms are explained.

The profiled application is the CommaFeed RSS reader.

Customizing telemetries in JProfiler

Telemetries are an essential feature for a profiler, they help you get an idea about when things happen in the profiled JVM, and how various subsystems are correlated.

This screencast shows how to customize the telemetries section in JProfiler by adding probe telemetries. It discusses bookmarks, recording actions and setting time range filters for probe events in probe telemetries.

Profiling JEE/Spring applications

This screencast showcases JProfiler's support for JEE and Spring, in particular the JEE/Spring component detection and the JEE/Spring aggregation level in the call tree and hot spot views.

Profiling Java applications in a Kubernetes cluster

This screencast shows how you can profile JVMs running in Kubernetes cluster with JProfiler. A profiling session with a note taking demo application sessions is started from the IDE, which provides additional benefits, like source code navigation and the automatic detection of profiled packages. Also, a standalone session is started, where an additional SSH connection is required to reach the kubectl command that can connect to the cluster.

Profiling Java applications in Docker containers

This screencast shows how to use JProfiler to profile a JVM that is running in a Docker container. JProfiler has dedicated zero-configuration support for attaching to local and remote Docker containers and both cases are shown in the screencast.