December 21st, 2011 , Written by zarzuelo in Pandora FMS
Pandora FMS Team have published Pandora FMS 4.0.1. This version 4.0.1 is a minor release, witch contains several fixes from 4.0 release and some new features:
- Native SNMP get and ping modules for Windows agent.
- Support for regular expressions in event log modules.
- New IPMI monitoring plugin.
- Some improvements in CLI.
- Added a new macro _plugin_parameters_ to alerts with the parameters os a plugin.
- Added a “force” mode to the server installer pandora_server_installer.
- Added the _data_ macro to event alerts.
- New web modules to read the contents of an HTTP request response.
- New “projection graph”, “prediction date” and “group” reports.
- The report viewer allows the start date to be changed.
- Global and visual console specific auto-refresh intervals can be configured.
- Performance improvements to the SNMP explorer.
- Improvements to the event viewer.
- Improvements to the metaconsole event viewer.
- Improvements to chart aesthetics.
- Improvements to policy ACL.
- The API access control now allows subnets.
We are working in some usability aspects of Pandora FMS right now. Adding some buttons or info to improve the user experience and facilitate the usage.
If you have some suggestions or ideas about it, do not doubt it, let us know and we will study it.
If you are using Pandora FMS, your opinion is very important.
November 4th, 2011 , Written by zarzuelo in Pandora FMS
We have been applied a lot of fixes on Pandora FMS v4 and them are here now! The version include solutions to a security problem reported by http://ngenuity-is.com , crashes in the windows agent when remote configuration is active and some bugs more.
This release is available in the Nightly versions section:
Recently we have been added to the Pandora FMS reports two new attractive items: Projection graph and Prediction graph.
Projection graph will project in the future an estimation of the module data. This estimation is based on linear regression and is implemented following the least squares method.
In this item you set the period of time to make the estimation and period of time in the future where the module data will be projected.
Prediction graph returns a date in the future where a module reach an interval. It uses least squares method like the Projection graph.
In this item you set the period of time to make the estimation and the interval that the module needs to reach to return the associated date.
These graphs are really useful (i.e.) in a system’s size estimation.