Personal schedule for Danil Zburivsky
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Running MySQL at a scale of Facebook leads to many unique problems. We will
discuss some of the performance problems seen in production systems and the tools and
techniques involved in solutions.
Achieving PCI compliance can be a difficult and expensive process. This session will begin by clarifying which requirements affect MySQL and then step through each requirement, providing common solutions to satisfy them.
I'll show 3 related examples that strike at the core of CouchDB's simplicity: The storage engine, the incremental map reduce views, and replication.
Describe cluster feateres, node types, internal processes etc.
Sharding is a pain. Anyone who says differently is trying to sell you something. Gwen Shapira will share stories from her 13 years of sharding experience: Learn how you can have less-painful sharded architecture using your favorite relational database.
InnoDB becomes the default storage engine in MySQL 5.5. At this session, you will learn the current state of InnoDB and the latest enhancements to the InnoDB storage engine in MySQL 5.5; plus how InnoDB works.
Location: Ballroom A
People talk about NoSQL in the context of distributed cloud-based web applications, but what if your application needs to be deployed throughout rural Africa, with limited computer resources, intermittent power, and above all, extremely unreliable internet? This talk discusses the features of CouchDB that make it uniquely suited for developing world health applications.
Sphinx Search Engine is a well known tool for dealing with full text search problems on the large scale, but did you know you can use Sphinx for other tasks, which your traditional database may not be well suited for. This presentation will look into practical cases of using Sphinx beyond full text search and provide performance comparison to using MySQL for the same task.
The Facebook database engineering team works with the community and on its own to make MySQL better for data center deployments. This work is visible in the Facebook patch, bugs fixed in official MySQL and features sponsored in other distributions. We will describe work to support a large number of large databases. We focus on backup, replication and quality of service.