Ganglia is a massively scalable cluster monitoring and execution environment written at the University of California, Berkeley Computer Science division as part of the Millennium Project. Ganglia monitors over 25 core host metrics (such as CPU, load and memory) and any number of custom metrics on clusters with hundreds of nodes. Clients can plug into the Ganglia monitoring core via an XML interface to generate a multitude of useful visualizations. rrdtool is the tool of choice for Web visualization of cluster status and historical trends.
Video - The Road to PetaFlop Computing
Explore the Scalable Unit concept where multiple clusters of various sizes can be rapidly built and deployed into production. This new architectural approach yields many subtle benefits to dramatically lower total cost of ownership.
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Appro and the Three National Laboratories
[Appro delivers a new breed of highly scalable, dynamic, reliable and effective Linux clusters to create the next generation of supercomputers for the National Laboratories.