Search Results for "database language"

Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser...

pgBadger is a PostgreSQL log analyzer built for speed with fully detailed reports from your PostgreSQL log file. It's a single and small script written in pure Perl language. It uses a javascript library to draw graphs so that you don't need additional Perl modules or any other package to install. Furthermore, this library gives us more features such as zooming. pgBadger is able to autodetect your log file format (syslog, stderr or csvlog). It is designed to parse huge log files as...

Tarantoga is an open source lightweight event management system for events from monitoring and more, with similar functionality to IBM Tivoli TEC, Master Cell, or BMC BEM. It supports your ITIL/ITSM event management process. It relies on MongoDB to store the events and Perl as rule programming language. GUI and backend are seperate tools that communicate only via the MongoDB. Tarantoga understands EIF, so you can send events with "postemsg", "msend -e", and the tarantoga tool tsend. Via EIF,...

audacity-extra now provides a sleek dark themed version of the Audacity open source sound editor. The project experiments with Audacity variations. There's a vowel-sound target-practice display for language learners and an analog waveform data logger for embedded systems.

YAML (tm) is a straight-forward data serilization language, offering an alternative to XML where markup (named lists and mixed content) are not needed. YAML borrows ideas from rfc822, SAX, C, HTML, Perl, and Python.

Logmine is a tool to facilitate logging to an RDBMS. Logging to a true database can make logs far more useful. While this is written in Java/JDBC, it uses a standard HTTP request, thus can be useful for any language/database.