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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Support for manual parallelization of sequential C programs.
ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied.
The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a...
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.
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Minimalistic java profiler using instrumentation and asm libs to preform a measure of the time spent by methods.
Mesure is efficient until the micro second and very realistic on milli second.
The ui allows exports, remote connection and multiple connections.
This is sister project for osDQ which provide Restful APIs
(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...
Mad for DB - The Migration Advisor for DataBases - analyzes the differences between two database schemas, automatically finds out which changes require individual migration effort and advises migrators which concrete datasets need fixing.
Graal collects profiling information when interpreting Java Bytecode. This tool gives the user the ability to inspect these Graal internal datastructures easily.
Installation instructions are provided in the wiki.
(Diver is in the process of being moved to GitHub. Please find us at https://github.com/thechiselgroup/Diver. Support requests & messages sent here may never be seen.)
Dynamic Interactive Views For Reverse Engineering. Div/er is a set of Eclipse Plugins that aid developers in understanding software. It uses dynamic analysis and reverse engineering to offer views and filters that aid comprehension and discovery.
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.
This is a GUI tool for viewing an analyzing files in a Callgrind Format, generated by Xdebug Profiler ( http://xdebug.org/docs/profiler ) version 2.1.3 and higher. Java JRE 6+ required.
Jensor is a light-weight, low-overhead Java Profiler built using Java BCI. Jensor provides innovative analysis modules like JVM Replay, Pattern Analysis and Tagging Engine for technical as well as business analysis based on the same underlying data.
Log5j is a lightweight and fast java logging library for Java versions 5 and above. It is very similar to log4j in style, but uses Java 5's varargs feature to allow any number of arguments to be passed to any logging method.
x4juli is an e(x)tension for(4) the (j)ava util(u) (l)ogging implemantion. It is a port of major log4j features (RollingFileHandler, PatternLayout, Filters). It includes a native implementation of "Jakarta Commons Logging" and "slf4j".
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.
Perfidix is a tool for developers to conveniently and consistently benchmark Java code. It's intentionally designed to be used like JUnit to simplify its adoption and comes with a suitable Eclipse plugin.
NOTE: THIS PROJECT HAS MOVED TO GITHUB!
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.
SwingDebugger is a developer toolkit and viewer to inspect and manipulate java swing applications at runtime. Users can write own "plugins" easily. The project also contains an eclipse integration which reuses current runtime configurations.
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.
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