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How We Did It: Cloud Databases And Storage

One of the advantages of the container-based virtualization architecture we use in Rackspace’s Cloud Databases service is the improved IO performance for your database. This performance improvement is primarily due to two reasons: the elimination of the hypervisor as a “middleman” in the path that goes from the database engine to the storage; and the flexibility in IO priority allocation that Cloud Databases gives to each one of the different containers of the system.

This is really important for databases because IO can be a significant factor in performance, especially if your database performs lots of reads and writes, reads large amounts of data (SELECTs) or performs batch UPDATEs or DELETEs transactions.

In this short video we talk a little more about this:

About the Author

This is a post written and contributed by J.R. Arredondo.

J.R. Arredondo joined Rackspace in February 2012 in the areas of Cloud storage and Cloud databases. J.R. came to Rackspace from Microsoft in the SharePoint and Office product management and engineering groups from 2006 to 2012. Before Microsoft, he was with BMC Software in its Corporate Development and Strategy group driving M&A initiatives in the areas of BSM and Application and Database Performance Management. Prior to BMC he led software engineering and architecture groups for eCommerce at Compaq.

Connect with J.R. on Twitter @jrarredondo or Google+.

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