Search Results for "arch linux custom" - Page 2
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Showing 33 open source projects for "arch linux custom"
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This project has moved to http://rubyforge.net/projects/log4r Log4r is a flexible logging library for Ruby. With a heiarchial logging system of arbitrary levels and names, multiple output destinations, logger inheritance, custom formatting, etc.
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A simple Java 1.5 (and above) logging library, that is flexible, configurable, easy to use, extensible and integrable into log4j and Apache logging. Uses no custom ClassLoaders and is thread-safe.
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Vigilante is a highly scalable and configurable monitoring platform. Its mission is to empower non programmers to build custom logging and monitoring services that can be implemented without any special infrastructure requirements.
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This java project goal is to parse text log files of custom types, and send its log events to a syslog server. it use a xml based configuration file. it support user defined severity and facility using java regex. It can be installed as a Windows service
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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A powerfull tool for analysing application servers logs (websphere, websphere portal, j2ee, custom) in a cluster (or not). It can analyse any log format thanks to a parser plugin approache. You can easily develop your own parser in java (for jboss, bea,.
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LKL is a userspace keylogger that runs under Linux on the x86 arch. LKL logs everything that passes through the hardware keyboard port (0x60). It translates keycodes to ASCII with a keymap file.
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Big-Brother is a collection of J2EE filters and servlets that provide custom monitoring and auditing of web-applications, keeping track of who does what, when, and how often. It makes use of the jakarta-apache Struts framework for the interface GUI.
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The goal of the A.I.G. project is to create a "front end" script that will custom build chart generation code for any environment based on user input.