Java JFR Analyzer is a Java application designed to read events from Java Flight Recorder (JFR) files and provide insightful analysis on various aspects of the application's performance. The application offers in-depth information, including Hotmethods, Allocation statistics, and more, to help developers and performance engineers optimize their Java applications without the need for additional applications like Java Mission Control.

To start using this project. Go to the root directory and run:

  ./gradlew build

To create a Jar file including all the dependencies run:

  ./gradlew shadowJar

This would create a Jar file named Java-JFR-Analyzer-1.0-all.jar. To run the application use the command in the root directory:

  java -jar ./build/libs/Java-JFR-Analyzer-1.0-all.jar <PID|Path to ".jfr" File>

Provide PID of the process you want to analyze in which case it would Start a new flight recording upon user inputs such as duration and path to dump the JFR recording. Or provide path to the JFR file you want to analyze.

Simplified Analysis: With this tool, you can conveniently analyze JFR files without relying on external applications, making the process more straightforward and accessible.

Comprehensive Performance Insights: By exploring the Hotmethods and Allocation Statistics, developers can pinpoint performance issues and optimize the application's resource utilization.

Sprinklr-Specific Analysis: The integration of Sprinklr methods makes this tool particularly useful as teams won't have to go through Trees of stack trace to find the specific method.

Time-Saving: The user-friendly interface and straightforward functionality save time that would otherwise be spent navigating complex tools for JFR analysis such as JMC.

All the values in the first Tab: Applcation Statistics either represents maximum value or value avereged over the time span of the profiling session depending on the attribute. Example: for CPU Machine it represents maximum recorded over profiling time while Allocation Rate represent average over profiling time.

Overall metrics: Includes information such as Total allocatoin, Allocation rates, Max compilation time, Heap Analysis, CPU analysis on Machine and the JVM etc.
Also includes Garbage Collection Health information for monitoring and assessing the health of our application's garbage collection process to ensure optimal memory reclamation.

Hotmethods Analysis: The tool identifies the hottest methods in the application, providing insights into performance bottlenecks and potential areas for optimization.

Allocation Statistics: Allocation behaviour of the application such as Top allocation methods & Sprinklr specific allocation methods.

High CPU Threads: Threads taking most amount of CPU and Hot Methods associated with them.

Depending on the Jdk version, sometimes instead of ObjectAllocation event, In and Outside TlAB events are fired to give the allocation statistics of the application. Hence i have added capabilities for both the scenarios. This TAB shows top allocating methods using TLAB events.

Java 11 or higher.