Replication for Availability & Durability with MySQL and Amazon RDS

Grant McAlister (Amazon.com)
Products and Services
Location: Ballroom G

Whether running with commodity servers on premise or in the cloud, there are many failure scenarios to protect your database against. In this session we will walk through the different types of replication possible with MySQL, understanding how they can help improve your availability and durability. We will also walk through the two replication options available for Amazon RDS, Multi-Availability-Zone Replication and Read Replicas, and how they can be used together for highly available, durable, and scalable MySQL deployments in the cloud.

But understanding the benefits of replication is only half the story. We will also discuss the pros and cons of each type of replication including administrative complexity, performance, scalability, the effects on the application and their overall efficiency.

During the presentation we will highlight what changes in the replication with MySQL 5.5.

There is no one single right answer when it comes to replication, but by the end of this session you will be armed with more information to help you decide which replication type is right for your application.

This session is sponsored by Amazon Web Services

Grant McAlister

Amazon.com

Grant McAlister is a Senior Principal Engineer at Amazon.com where he works on RDS – Amazon’s Relational Database Service. For the past 10 years Grant has been responsible for the performance, scalability and availability of Amazon’s databases. Before joining Amazon.com in 1999, Grant worked as an Independent Database Consultant and as a Senior Principle Consultant for Oracle Corporation. A 1991 graduate of the University of Alberta, Grant has been working with various database systems for the past 18 years.

  • EnterpriseDB
  • Amazon Web Services
  • Clustrix
  • Continuent
  • Facebook
  • HTI Consultoria e Tecnologia
  • Monty Program
  • Percona
  • Rackspace Hosting
  • Schooner Information Technology
  • SkySQL
  • Xeround

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