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Kieker is a framework for continuous monitoring and dynamic analysis of distributed software systems. Being designed for continuous operation, it induces only a low overhead. The TraceAnalysis tool allows to analyze and visualize trace information.
A collection of performance analysis software that can assist with a variety of techniques useful for application software optimization and benchmarking. The current release provides support for analysis with hardware performance counters on Linux.
A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.
JARep is a reporting tool for application performance data, extracted from a performance measuring tool like JAMon API. The data is then stored in a database. Via a webapp or a Swing application you can view the performance over time. See SVN source.
Stand alone Java application used simulate a memory leak in order to generate profile signatures. The application has the ability to generate system (CPU) load in order to observe profile signature changes.
Framework for profiling & early performance testing of J2SE, thread based applications. Integrates into the Maven build-cycle. Closely integrates with YourKit profiler to produce automatic CPU profiling of you application.
Beet adds user behavior and performance tracking to a Spring-based Java app. HTTP requests, method calls, and SQL statements are tracked and associated to user and session. includes XML, binary XML, and JDBC loggers. See http://beet.sourceforge.net.
An add-on package for implementations of Contexts and Dependency Injection for the Java EE platform (CDI - JSR-299) providing convenient integration with Perf4j - performance monitoring library for Java applications.
Rapidlogix is an open source application performance management tool optimized for distributed production environments. It allows to increase time-to-market of performance improvements and prevent performance regression
JIP is a high performance, low overhead profiler that is written entirely in Java. JIP gives the developer the ability to turn the profiler on and off while the VM is running. You can also filter out classes and packages as well as control the output.
This project benchmarks the performance of three Java toolkits for working with VMware Infrastructure and vSphere: VI (vSphere) Java, the VI SDK for Java, and the vSphere SDK.
Lack of Progress Bar (Lopb) is an Eclipse plugin that tracks how long developers wait for file check-ins/outs, code compilation, publishing apps to a web server, and other IDE background jobs to complete. Read more at http://lopb.org
insideApps from determyne: Transaction-level performance monitoring for J2EE applications. Correlates and reports on transactions across HTTP server, J2EE container, and database layers. Pinpoints the source of performance issues in real time.
Create a high-quality JVM profiler, capable to offer a broad vision of the application performance,focused in locking problems and methods execution time.
JRat is the Java Runtime Analysis Toolkit. Its purpose is to enable developers to better understand the runtime behavior of their Java programs. The term behavior includes, but is not limited to performance profiling.
Watchdog is a Javaperformance monitoring and tuning framework. It is suitable for production environments allowing flexible auditing of performance data for later analysis by a comprehensive set of tools.
This project provides runtime performance monitoring and reporting for Java applications. It includes a simple API with timers and counters, data persistence, support classes and aspects (AspectJ & Spring AOP), and a reporting web application.
This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.