Showing posts with label performance. Show all posts
Showing posts with label performance. Show all posts

Monday, 8 January 2007

Performance Tuning Best Practices for MySQL



Google TechTalks April 28, 2006

Jay Pipes Jay Pipes is a co-author of the recently published Pro MySQL (Apress, 2005), which covers ... all » all of the newest MySQL 5 features, as well as in-depth discussion and analysis of the MySQL server architecture, storage engines, transaction procesing, benchmarking, and advanced SQL scenarios. You can also see his name on articles appearing in Linux Magazine and can read more articles about MySQL at his website.

ABSTRACT Learn where to best focus your attention when tuning the performance of your applications and database servers, and how to effectively find the "low hanging fruit" on the tree of bottlenecks. It's not rocket science, but with a bit of acquired skill and experience, and of course good habits, you too can do this magic! Jay Pipes is MySQL's Community Relations Manager for North America.

Sunday, 7 January 2007

Using open source tools for performance testing



Google London Test Automation Conference (LTAC) Google Tech Talks September 8th, 2006 Presenter: Goranka Bjedov

Saturday, 6 January 2007

Bigtable: A Distributed Storage System for Structured Data


"Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this paper we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable."

Video

Other links:
http://labs.google.com/papers/bigtable.html
http://en.wikipedia.org/wiki/BigTable