Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization. 
 
 It has been used to link clusters across university campuses and around the world and can scale to handle clusters with 2000 nodes. It relies on a multicast-based listen/announce protocol to monitor state within clusters. The ganglia system comprises two unique daemons, a PHP-based web front-end. 
 
 Demo:
 <UL>
	<LI><A HREF="http://monitor.millennium.berkeley.edu/" target="_blank">http://monitor.millennium.berkeley.edu/</A>. Monitoring of University of California Berkeley Grid.</LI>
	<LI><A HREF="http://ganglia.wikimedia.org/" target="_blank">http://ganglia.wikimedia.org/</A> Monitoring of Wikimedia grid</LI>
 </UL>
 Sourceforge location: <A HREF="http://sourceforge.net/projects/ganglia/" target="_blank">http://sourceforge.net/projects/ganglia/</A>

Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization.

Ganglia - scalable distributed monitoring system

Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel by doing load balancing. It also supports to call functions between languages. It is the nervous system for how distributed processing communicates. It is fault tolerant. A Gearman powered application consists of three parts: a client, a worker, and a job server. The client is responsible for creating a job to be run and sending it to a job server. The job server will find a suitable worker that can run the job and forwards the job on. The worker performs the work requested by the client and sends a response to the client through the job server.

Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel by doing load balancing. It also supports to call functions between languages. It is the nervous system for how distributed processing communicates. It is fault tolerant.

Gearman - Application Framework to farm out work to other Machines

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