[Pacemaker] Announce: Hawk (HA Web Konsole) 0.4.0

Nikita Michalko michalko.system at a-i-p.com
Fri Apr 22 12:14:00 UTC 2011


Am Dienstag 19 April 2011 12:59:35 schrieb Tim Serong:
> Greetings All,
> 
> This is to announce version 0.4.0 of Hawk, a web-based GUI for
> managing and monitoring Pacemaker High-Availability clusters.
> 
> You can use Hawk 0.4.0 to:
> 
>   - Monitor your cluster, with much the same functionality as
>     crm_mon (displays node and resource status, failed ops).
> 
>   - Perform basic operator tasks:
>     - Node: standby, online, fence
>     - Resource: start, stop, migrate, unmigrate, clean up.
> 
>   - Create, edit and delete primitives, groups, clones, m/s
>     resources.
> 
>   - Edit crm_config properties.
> 
> Hawk is intended to run on each node in your cluster, and is
> accessible via HTTPS on port 7630.  You can then access it by
> pointing your web browser at the IP address of any cluster node,
> or the address of any IPaddr(2) resource you may have configured.
> 
> You will need to configure a user account to log in as.  The
> same rules apply as for the python GUI; you need to log in as
> a user in the "haclient" group.
> 
> Packages for various SUSE-based distros can be obtained from the
> network:ha-clustering and network:ha-clustering:Factory repos
> on OBS, or you can just search for Hawk on software.opensuse.org:
> 
>   http://software.opensuse.org/search?baseproject=ALL&q=Hawk


- just  tried to download HAWK, but don't know some password required by YAST 
- which one?


TIA


Nikita Michalko

> 
> I don't have Fedora/Red Hat packages yet, but building an RPM
> from source is easy:
> 
>   # hg clone http://hg.clusterlabs.org/pacemaker/hawk
>   # cd hawk
>   # hg update tip
>   # make rpm
> 
> My apologies to non-RPM-based distro users (packaging assistance
> gladly accepted!)
> 
> Further information is available at:
> 
>   http://www.clusterlabs.org/wiki/Hawk
> 
> Please direct comments, feedback, questions, etc. to myself
> and/or (preferably) the Pacemaker mailing list.
> 
> Happy clustering,
> 
> Tim
> 




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