Search Results for "java web application"

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.

Performance Monitoring Tool for Java / J2EE Applications. Features: light-weight profiler, AOP based, lists API times, JDBC / SQL statistics, central logging, cluster support, web UI, call trees, configurable monitoring levels.

MonitorJMX is a very small web application capable to monitor WebLogic Servers/Cluster using a single JMX connection. Two JSP dashboards are available in this first version: servers and jms.

Java agent which recognizes "flows" as unique sequences of instrumented method calls. Runtime statistics are collected for the dynamically detected flows during snapshot interval. The instrumented methods may be set either manually via UI or automatically in drill down mode. The automatic drill down mode effectively instruments classes generated by frameworks like Hibernate, Rhino, etc.

(Beta Version) This is sister project for https://sourceforge.net/projects/dataquality/ . It provides Restful APIs for features for data quality and data preparation features. This project will help projects which want embed data quality and data preparation features in their project or UI using restful calls. Data Cleansing APIs Dockerfile: # Pull base image FROM frnde/jetty-9.4.2-jre8-alpine-cet ADD osdq-v0.0.1.war /var/lib/jetty/webapps/osdq.war EXPOSE 8080 Docker...

TimeDoctor is a tool to visualize execution traces of tasks, queues, cache behavior, etc. While originally targeting embedded media processors and includes specific features for analyzing audio/video streaming applications it has wider applicability.

PerfMon4j is a software library designed to diagnose and monitor Java Enterprise application performance while the software is under load.

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.

A Java library to run diagnostic tasks for a Web application at runtime. Configured tasks verify the availability of external resources such as property files, datasources and JNDI bindings. A run can detect problems ahead of using your application.

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.

Investigo is a toolkit for DirectX9 performance analysis and debugging. For any DirectX9 application: view live performance graphs via the embedded HTTP server and capture performance metrics for offline analysis. Investigo is released under an MIT style licence. The first binary release is now up. An article on Investigo can be found on Code Project: http://www.codeproject.com/Articles/448756/Introducing-Investigo-Using-a-Proxy-DLL-and-embedd If you want to work on...

Welcome to IgProf, the ignominious profiler. IgProf is a simple nice tool for measuring and analysing application memory and performance characteristics. IgProf requires no changes to the application or the build process.

The perl module CGI::Application::Plugin::DBIProfile is a plugin for the CGI::Application web application framework. It provides DBI Profile information (see DBI::Profile) as both textual reports and graphed output.

A fully automated database benchmark suite that prints tabular and graphic results for multiple tested disciplines, given JDBC database connections. Some free open source database engines are included.

Get an inside view of your application. Find bottlenecks by looking at the development of the duration of your main business methods over time even in production. Find the cause of those bottlenecks by applying the profiling capabilities of JVMLense.

The perl module CGI::Application::Plugin::DBIProfile is a plugin for the CGI::Application web application framework. It provides DBI Profile information (see DBI::Profile) as both textual reports and graphed output.

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.

VisualMon is a concise dashboard for Java web applications, it shows statistics gathered by JAMon, reduced to the data relevant to the concrete web application and with a visually pleasant appearance.

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.

This debugger for PHP gives you the ability to inspect and understand what is going on in your application.

Objectreferenceanalyser (ORA) helps finding memory leaks, design weaknesses and bugs. The ORA-Framework visualizes objects, their content and relations during runtime of any Java application and is able to persist these findings for subsequent analyze.

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

Jarrut is a tool that makes developing and debugging Java ME applications (application using CLDC to be more specific) a bit less of a pain. Jarrut enables proper stack traces for exceptions, also when running a MIDlet on a real device

A Data profiling project