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December 29, 2008 12:20 PM PST

The Cloud and eventual consistency

by Dave Rosenberg
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Amazon CTO Werner Vogels recently revisited a post titled 'Eventually Consistent' , about building consistency models for globally distributed systems and the trade-offs required to process trillions of transactions. It's a little heady, but definitely worth a read if you are trying to figure out how to architect applications for the Cloud or other large system architectures.

Whether or not inconsistencies are acceptable depends on the client application. In all cases the developer needs to be aware that consistency guarantees are provided by the storage systems and need to be taken into account when developing applications. There are a number of practical improvements to the eventual consistency model, such as session-level consistency and monotonic reads, which provide better tools for the developer. Many times the application is capable of handling the eventual consistency guarantees of the storage system without any problem. A specific popular case is a Web site in which we can have the notion of user-perceived consistency. In this scenario the inconsistency window needs to be smaller than the time expected for the customer to return for the next page load. This allows for updates to propagate through the system before the next read is expected.

Via All Things Distributed

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About Software, Interrupted

In "Software, Interrupted," Dave Rosenberg discusses disruption in the software market, as well as the products and services that keep business technology norms in perpetual flux.

With nearly 15 years of technology and marketing experience spanning from Bell Labs to multiple start-up IPOs, Dave co-founded open-source software company MuleSource and now serves as general manager of Hardy Way. He also happens to be a U.S. patent holder and a workaholic. Technology is his best friend and mortal enemy.

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