Skip to content

TrueNAS

You are viewing the ZenPack Archive

This page is part of the ZenPack Archive. Archived ZenPacks may not be compatible with your version of Zenoss Service Dynamics or Zenoss Cloud.

Community

This ZenPack is developed and supported by the Zenoss User Community. Contact Zenoss to request more information regarding this or any other ZenPacks. Click here to view all available Zenoss Community ZenPacks.

Authors

f.noushi

Maintainers

f.noushi

Organization

iXsystems

License

GNU General Public License, Version 2, or later

Name

ZenPacks.iXsystems.TrueNAS

Git Sources (For Cloning)

Link

Applications Monitored

TrueNAS (9.3)

FreeNAS (9.3)

TrueNAS ZenPack

Monitoring of FreeNAS/TrueNAS servers with auto-discovery feature for pools and datasets

Support

This ZenPack is developed by the Zenoss user community and supported via our online forums. Zenoss, Inc. does not provide direct support for this ZenPack.

Releases

Version 0.9.0- Download: Compatible with Zenoss Core 4.2.x, Zenoss Core 5.0.x

Background

Notes

This ZenPack relies on SNMP to extract performance metrics as well as discovering pools and datasets.Therefore, the correct community has to be set. Apart from SNMP-based monitoring, FreeNAS/TrueNAS events are also translated to Zenoss events. Dismissing them on the web interface clears them on Zenoss. Syslog monitoring can also be enabled on the web interface regardless of this ZenPack's installation.

Usage

Before installing the ZenPack, be sure to install PyYAML as the Zenoss user:

   easy_install PyYAML

The ZenPack provides a device class named TrueNAS nested under /Server/Linux. FreeNAS/TrueNAS devices should be added to that class, configured then modelled. Below a list of zProperties added by the ZenPack.

zProperty Description
zTrueNASLogin FreeNAS/TrueNAS web login. Used to extract alerts from the API
zTrueNASPass FreeNAS/TrueNAS web password. Used to extract alerts from the API
zTrueNASIgnorePools List of pools to ignore on modeling.
zTrueNASIgnoreDatasets List of datasets to ignore on modeling.