Personal schedule for Danil Zburivsky

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10:50am Wednesday, 04/13/2011
MySQL State of the Art at Facebook
Performance Tuning and Benchmarking
 Location: Ballroom C
Harrison Fisk (Facebook), Domas Mituzas (Facebook)
Average rating: ***..
(3.80, 15 ratings)
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. Read more.
11:55am Wednesday, 04/13/2011
Achieving PCI Compliance with MySQL
Security and Database Administration
 Location: Ballroom B
Tags: dba, security
Fernando Ipar (Percona), Ryan Lowe (Percona)
Average rating: **...
(2.67, 3 ratings)
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. Read more.
2:00pm Wednesday, 04/13/2011
CouchDB Simplicity
Architecture and Technology, NoSQL, Storage Engine Development and Optimization
 Location: Ballroom F
Tags: nosql, architecture, couchdb
J Chris Anderson (Couchbase)
Average rating: ****.
(4.60, 5 ratings)
Apache CouchDB implements a reliable storage engine, webserver, and HTTP application server environment, in under 20k lines of Erlang and JavaScript source code (with an additional X lines of test code.) 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. Read more.
4:25pm Wednesday, 04/13/2011
MySQL Cluster Architecture
MySQL Cluster and High Availability
 Location: Ballroom B
Max Mether (SkySQL Ab)
Average rating: ****.
(4.00, 2 ratings)
Describe cluster feateres, node types, internal processes etc. Read more.
5:15pm Wednesday, 04/13/2011
No Silver Bullet - The Slightly Less Painful Way to Sharding
Architecture and Technology, Replication and Scale-Out
 Location: Ballroom E
Tags: sharding
Gwen Shapira (Pythian)
Average rating: ****.
(4.00, 4 ratings)
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. Read more.
10:50am Thursday, 04/14/2011
InnoDB: Status, Architecture, and Latest Enhancements
Storage Engine Development and Optimization
 Location: Ballroom C
Tags: innodb, storage_engine
Inaam Rana (Oracle), John Russell (Oracle Corporation)
Average rating: ***..
(3.50, 8 ratings)
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. Read more.
11:55am Thursday, 04/14/2011
Using CouchDB for Emerging World Healthcare Solutions
NoSQL
 Location: Ballroom A
Tags: cloud, nosql, case_study, couchdb
Cory Zue (Dimagi)
Average rating: *****
(5.00, 1 rating)
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. Read more.
2:00pm Thursday, 04/14/2011
Using Sphinx Beyond Full Text Search
LAMP, NoSQL
 Location: Ballroom F
Peter Zaitsev (Percona Inc), Adam Rice (Sphinx Search)
Average rating: ****.
(4.00, 3 ratings)
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. Read more.
2:50pm Thursday, 04/14/2011
Making MySQL Better for the Data Center
Replication and Scale-Out, Storage Engine Development and Optimization
 Location: Ballroom B
Tags: mysql, data_centers, case_study, facebook
Mark Callaghan (Facebook), Ryan Mack (Facebook), Vamsi Ponnekanti (Facebook)
Average rating: ****.
(4.33, 3 ratings)
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. Read more.
  • 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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