Scaling Applications with Caching, Sharding and Replication

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As MySQL Driven Application growths, requiring to handle larger and larger load with increasing database size there are several Architectural methods to get the performance you need

  • Caching Buffering and Queueing – using supplemental systems to reduce the amount of reads or writes MySQL Server needs to handle or change them from being synchronous (users waiting for response) to background
  • Replication is a technique to scale the read load by being able to read from multiple copies of your data
  • Functional Partitioning and Sharing are techniques to split your database in the smaller portions which can be served by individual servers or group of Servers

In this tutorial we will go into details of how to understand what solutions are best for your application, how to design architecture to take the best advantage of these approaches as well as go into practical details/tips/tricks implementing them in production.

Photo of Peter Zaitsev

Peter Zaitsev

Percona LLC

Peter co-founded Percona in 2006, assuming the role of CEO. Percona is the only company that delivers enterprise-class solutions for both MySQLⓇ and MongoDBⓇ across traditional and cloud-based platforms. Percona has been on the Inc. 5000 list of fastest growing companies since 2013. Back in 2000s Peter was an early employee at MySQL AB, eventually leading the company’s High Performance Group. A serial entrepreneur, Peter co-founded his first startup while attending Moscow State University where he majored in Computer Science.

As CEO of Percona, Peter enjoys mixing business leadership with hands on technical expertise. Peter is co-author of High Performance MySQL published by O’Reilly, one of the most popular books on MySQL performance. Peter blogs regularly on Percona Performance Blog and speaks frequently at conferences all over the world. Peter lives in North Carolina with his wife and two children. In his spare time, Peter enjoys travel and spending time outdoors.

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Siby Nidhiry
04/12/2011 9:02am PDT

Could you please provide the presentation on this Thanks

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