Scaling SQL and NoSQL Databases in the Cloud
Database performance is the number one cause of poor application performance. Exacerbating the problem are cloud environments where I/O and bandwidth are generally slower and less predictable than in dedicated data centers. Database sharding is a highly effective method of removing the database scalability barrier, operating on top of proven RDBMS products such as MySQL and Postgres as well as the new NoSQL database platforms.
In this session, led by Cory Isaacson, CEO at CodeFutures, you'll learn what it really takes to implement sharding, reliability, and end-to-end lifecycle management for your entire database environment. We'll present an example of seamlessly combining SQL and NoSQL databases into a unified infrastructure along with a case study that shows how effective database sharding allowed a high-volume social networking application to scale in the cloud.
Date: November 03, 2010 | Runtime: 39:02
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