ANNOUNCE: moodss-21.1 and moomps-5.5

From: <jfontain@free.fr>
Date: Mon Mar 06 2006 - 23:58:58 CET

### CHANGES ###

- in moodss GUI:
  - in predictor tool
    - allowed estimate of the data main period using fast Fourier
      transform (FFT)
    - do not loose previously fitted data when user aborts fitting
      process
    - display fitting time once best statistical model is fitted
    - handle duplicated data samples by averaging values
  - trace window now automatically opens by default on any module
    error, warning or informational message
  - in preferences application trace page, added check button to
    control the automatic display of the trace window
  - when browsing database, erasing 1 of 2 disjoined instances could
    result in blue cursors to become invisible
  - hiding or showing the toolbar resulted in an error (bug introduced
    in 21.0 release)
- added myshow module for monitoring either the status or the system
  variables of a MySQL SQL database server
- rendered mystatus and myvars MySQL modules obsolete (use myshow
  --status and --variables instead)
- in moomps rpm specification file, use Fedora technique for adding
  user with pre-defined UID
- in standalone Linux binary:
  - included the R statistical engine.
  - added a 64 bit AMD/Intel version

### README ###

This is moodss version 21.1 and moomps version 5.5, powerful modular
monitoring applications.

For Unix Review, moodss is "a must-have application for today's
network and systems administrators", and for Eric S. Raymond, in "The
Art of UNIX Programming" book: "the code is polished, mature, and
considered an exemplar in the Tcl community". For Joe Barr, at
NewsForge: "I downloaded the moodss tarball from the website,
decompressed it, and started it up. It's that easy. The main window is
deceptively simple. Great power lurks just below the surface of that
mild exterior".

Moodss is a graphical application, which, in real-time mode, displays
data processed by any number of dynamically loadable modules. Various
data tools (graphs, pie charts, formula builders, thresholds manager,
...) are used to build complete dashboards, very easily by drag'n'drop,
to monitor a single server up to a whole information system. Any
displayed data can also be archived in a SQL database, which moodss
can use for post-analysis and presentations, or even capacity planning
by predicting the future, using sophisticated statistical methods and
artificial neural networks.
Moodss companion daemon, moomps, works similarly around the clock, and
even allows distributed monitoring to feed remote moodss stations.

Modules, the link between the moodss and moomps cores and the
monitored data, can be easily created (in Tcl, Perl, Python, HTTP, C,
...).
Many modules are provided, such as a comprehensive set for Linux
system monitoring, MySQL, network, SNMP, Nagios compatibility, Python
and Perl modules examples. For instance, thoroughly monitor a dynamic
web server on a single dashboard with graphs, using the Apache, MySQL,
ODBC, cpustats, memstats, ... modules. If you have replicated servers,
dynamically add them to your view, even load the snmp module on the
fly and let your imagination take over...
There are currently about 100 usable modules for moodss (counting the
Nagios plugins)

Moodss is multi-lingual: English, Japanese and French are
supported. Help with other languages is very warmly welcomed.

###

You may find it now at the following locations:

comp.lang.tcl archive

ANNOUNCE: moodss-21.1 and moomps-5.5