By Matt Massie
Written by way of Ganglia designers and maintainers, this ebook indicates you ways to gather and visualize metrics from clusters, grids, and cloud infrastructures at any scale. are looking to music CPU usage from 50,000 hosts each ten seconds? Ganglia is simply the software you wish, when you understand how its major elements interact. This hands-on ebook is helping skilled process directors benefit from Ganglia 3.x.
Learn the right way to expand the bottom set of metrics you gather, fetch present values, see combination perspectives of metrics, and discover time-series traits on your info. You’ll additionally research real-world case stories of Ganglia installs that characteristic demanding tracking requirements.
- Determine no matter if Ganglia is an efficient healthy on your environment
- Learn how Ganglia’s gmond and gmetad daemons construct a metric assortment overlay
- Plan for scalability early on your Ganglia deployment, with worthwhile information and advice
- Take info visualization to a brand new point with gweb, Ganglia’s net frontend
- Write plugins to increase gmond’s metric-collection capability
- Troubleshoot concerns you'll come upon with a Ganglia installation
- Integrate Ganglia with the sFlow and Nagios tracking systems
Contributors contain: Robert Alexander, Jeff Buchbinder, Frederiko Costa, Alex Dean, Dave Josephsen, Peter Phaal, and Daniel Pocock. Case learn writers comprise: John Allspaw, Ramon Bastiaans, Adam Compton, Andrew Dibble, and Jonah Horowitz.
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Additional info for Monitoring with Ganglia: Tracking Dynamic Host and Application Metrics at Scale
On Debian-based distros, the default settings are the following: # Location where gweb should be installed to DESTDIR = /var/www/html/ganglia2 APACHE_USER = www-data ... info This means that gweb will be available to the user here. You can change to whichever name you want. Finally, run the following command: root@host:# make install If no errors are shown, gweb is successfully installed. Skip to “Configuring Ganglia” on page 20 for further information on gweb settings. RPM-based distributions.
In multicast mode, this isn’t a problem, because any node can request the metadata of all other nodes in the cluster. However, in unicast mode, a resend interval must be established. The interval value is the minimum number of seconds between resends. module_dir (path; optional) Indicates the directory where the metric collection modules are found. If omitted, defaults to the value of the compile-time option: --with-moduledir. This option, in turn, defaults to a subdirectory named Ganglia in the directory where libganglia will be installed.
This chapter is a must-read for enterprises of that size: without it, the default Ganglia installation will appear to be completely broken and may even flood the network with metric data, interfering with normal business operations. If it’s set up correctly (with a custom configuration), the authors can confirm that Ganglia performs exceptionally well in such an environment. In fact, the number of nodes is not the only factor that affects scalability. In a default installation, Ganglia collects about 30 metrics from each node.