Pandora FMS is a software-monitoring tool created for all kinds of companies. It is specially designed for large environments, and works by first managing servers, applications, and communications, and then notifying clients of problems and failures before they occur. Pandora FMS also includes a configurable report system that evaluates and notifies the client on the level of fulfillment and compliance of their systems. It supports all kinds of technologies unifying the management tools of your system, such as performance monitoring, network monitoring, and availability management. Pandora FMS makes your company management more agile and improves your process performance.
FusionInventory Agent is an generic inventory agent that can collect information from various sources including the local machine, network, and remote devices. It also has the ability to send Wake on LAN requests and deploy software. The agent can be used with GLPI, Uranos, Rudder, Pulse2, and OCS Inventory.
Jmx4Perl provides an alternate way of accessing Java JEE Server management interfaces that are based on JMX (Java Management Extensions). It is an agent-based approach where a small Web application deployed on the application server provides HTTP/JSON-based access to JMX MBeans registered within the application server. It is set up from a handful of Perl modules, which can be integrated seamlessly in your own programs. It also includes a Nagios plugin, check_jmx4perl, a jmx4perl command line tool for remote JMX queries and operations, and a readline-based JMX shell j4psh, with context sensitive command completion and syntax highlighting.
Feed4JUnit makes it easy to write parameterized tests for the JUnit framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files, databases, or custom data sources, and equivalence class tests can be defined easily. Setup is based on Java annotations and is easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7, and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.
Ingres is a feature rich and robust database (RDBMS) that's free to use, modify, and redistribute. Support is available for a reasonable price if you need it. Ingres supports many programming languages, including Python, Ruby, Java, Perl, C/C++, and more. Ingres has a bit of a learning curve, but once mastered is extremely powerful and highly tunable. It is also very stable and reliable. Ingres is one of a fairly small number of databases providing excellent geospatial features including data types and functions compliant with the Open Geospatial Consortium (OGC) Simple Feature Specification (SFS) for SQL.
RHQ is a management platform for everything from the OS level load and network metrics through common databases to application servers and projects. The system includes support for monitoring and/or managing Apache httpd, Apache Tomcat, JBoss Application Server, PostgreSQL, and other popular open source projects. It is built on the powerful RHQ plugin model that allows for the quick development of support for new projects. It supports inventory auto-discovery, rich monitoring and alerting, operational control, configuration management, content deployment, log tracking, and full history and auditing. It supports fine-grained security and rich group management.
Feed4TestNG makes it easy to write parameterized tests for the TestNG framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files and equivalence class tests can be defined easily. Setup is based on Java annotations and easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7 and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.
Osgish is a command line shell for OSGi. It is based on the Readline Library, Jmx4Perl, as the OSGi backend, and Aries JMX as the OSGi Management layer. It is different than other OSGi shells, as it is implemented in pure Perl and provides unique features like wildcard support, context-sensitive command line completion, syntax highlighting, bulk lifecycle operations, advanced query facilities, and remoting via HTTP. It uses jmx4perl and Aries JMX OSGi bundles for accessing the OSGi container remotely.