Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different data centers). At this scale, small and large components fail continuously. The way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems relying on this service.
While in many ways Cassandra resembles a database and shares many design and implementation strategies therewith, Cassandra does not support a full relational data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format. Cassandra system was designed to run on cheap commodity hardware and handle high write throughput while not sacrificing read efficiency.
Bret Piatt is the primary technical contact for partners of the Rackspace Cloud division. He is also actively involved in the cloud computing community promoting open standards and helping open source projects gain awareness. Prior to his current role, Bret spent 5 years in product management for both Rackspace and AT&T where he was responsible for launching offerings such as the Rackspace PCI Toolbox and the AT&T Premises-Based Cisco ASA Firewall Service. A self described “lifelong geek”, his professional technical experience comes from 5 years at SBC where he designed monitoring and management systems, optimized networks for enterprise customers, and performed lab testing on new products from potential suppliers and partners.
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Comments
I went to this session hoping to learn more about installing, configuring and running Cassandra. There was very little of that discussed. I left disappointed.
I’d like to apologize for not going into more hands on for those that wanted to go deeper into operations activities. I’m happy to go into more detail around optimizing your deployment architecture for your application. You can reach me at bret.piatt at rackspace.com
My notes from this session are up here: theagileadmin.com/2010/06/2...
I was hoping for more from this. Good that it was focused on using / scaling cassandra instead of developing using cassandra. Skipped the hands on stuff, probably was a mistake.