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Moodss is a modular monitoring application, which supports operating systems (Linux, UNIX, Windows, etc.), databases (MySQL, Oracle, PostgreSQL, DB2, ODBC, etc.), networking (SNMP, Apache, etc.), and any device or process for which a module can be developed (in Tcl, Python, Perl, Java, and C). An intuitive GUI with full drag'n'drop support allows the construction of dashboards with graphs, pie charts, etc., while the thresholds functionality includes emails and user defined scripts. Monitored data can be archived in a SQL database by both the GUI and the companion daemon, so that complete history over time can be made available from Web pages or common spreadsheet software. It can even be used for future behavior prediction or capacity planning, from the included predictor tool, based on powerful statistical methods and artificial neural networks.

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2006-11-20 16:00

The ability to edit thresholds per page was added
in order to easily manage large quantities of
thresholds. The email library was patched to
ensure that messages' data sections are properly
terminated. The usual minor improvements and
bugfixes were also made.
標籤: Minor feature enhancements

2006-10-30 13:21

In this release, an important bug in the
File/Modules/Manage/Loaded dialog box was fixed.
The thresholds dialog box opening and closing
times were significantly improved. Usual minor
improvements were also included.
標籤: Major bugfixes

2006-10-10 01:11

In this release, performance on big dashboards with many thresholds
was significantly improved, and the snmptrap module was made
compatible with the Tnm SNMP library version 3, also successfully
tested on OS X. Several minor improvements and bugfixes were
標籤: Major feature enhancements

2006-04-10 23:32

This release makes sure that when the moodss or moomps applications exit, the modules perform their termination procedure. The Apache modules load properly again. Many improvements and bugfixes related to 64-bit platform support were made.
標籤: Major bugfixes

2006-03-07 02:30

In the predictor tool, finding the main period of the analyzed data using a Fast Fourier Transform is allowed. A new myshow module was added for monitoring either the status or the system variables of a MySQL database server. Minor improvements and bugfixes were also made.
標籤: Minor feature enhancements

Project Resources