SQLCAT: Optimizing application workload & performance by leveraging AppFabric Cache along with SQL Server
Today, more and more data is being exposed via interactive web applications such as social networking, news, sports, video sharing, etc. Such web sites can now be accessed via different devices such as mobile phones, netbooks and easily exposed to 1000s of users. Hence, application architectures must leverage distributed application caching along with the database tier for building highly scalable, high throughput and highly available systems. In this session, we will cover some of the lessons learned based on customer engagements for AppFabric Cache, Microsoft's distributed caching solution, with some performance data.
Senior Program Manager, AppFabric Customer Advisory Team
Over the last decade, Rama Ramani has built experience in enterprise server products across databases, RFID middleware and application server caching technologies. The roles have ranged from systems programming inside the database server, feature PM and now part of the AppFabric Customer Advisory Team working with some of the largest deployments. He has a bachelors degree in computer science from the University of Madras and a masters degree in computer science from the University of Florida.
Sr. SQL Server Developer
Todd Robinson has been working with SQL Server since the 6.0 release. He currently works for Travelport as a Sr. SQL Server Database Developer focusing on high transaction volume systems in the travel industry. Prior to his role at Travelport, he was an independent consultant for DevSQL, which focused on development and consulting of highly available and scalable systems in the financial, government and telecommunications industries. Todd has been involved as a volunteer with PASS since 2005.
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