Hi Matt,
I would definitely be interested in joining such an effort. Since I
started using Ganglia for AIX and Linux on Power I have certainly given
25+ presentations on Ganglia - certainly with a focus on AIX and IBM
Power systems - but there is surely enough suitable "common" material
available, mostly in PowerPoint presentations that I could chip in....
Regards,
Michael
On 12/01/2011 08:31 PM, Matt Massie wrote:
There's an O'reilly editor who's interested in publishing a ~50-page
eBook on ganglia.
I have no doubt the ganglia community would benefit from a book
covering topics like:
* Ganglia's components and overall architecture
* Typical deployment configurations including simple steps for
verifying an installation (e.g. unicast/multicast, single
cluster/multiple distributed clusters/datacenter)
* Navigating and using the new web interface
* Tips for extending ganglia's functionality (e.g. gmetric, modules)
* Common integration points (e.g. Hadoop metrics, Nagios)
* A simple step-by-step checklist for debugging common ganglia
issues with pointers to our web site, mailing lists, irc
channel, etc.
* Supported platforms and core metrics
* Scaling to clusters > 1000 nodes
These are just ideas off the top of my head and not meant to final or
comprehensive but meant to provide a list for discussion. Of course,
let me know if there's topics the community would like to know more
(or less) about. The purpose of the book is to serve as a first-read
book for people new to ganglia. Keep in mind, for much of the book,
we won't be starting from scratch. We already have a good amount of
documentation that just needs to be organized and edited.
I'll be happy to contribute time to make this eBook a reality;
however, I want the book authors to be the leaders and experts in the
ganglia community. I think it best we divide and conquer and write
the book as a team. Who is interesting in helping write the book?
-Matt
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All the data continuously generated in your IT infrastructure
contains a definitive record of customers, application performance,
security threats, fraudulent activity, and more. Splunk takes this
data and makes sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-novd2d
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