John Penix describes the test automation system and the supporting build system infrastructure used by Google.
Stephen Nelson-Smith discusses the idea of financial intermediation in cloud computing and explores how to use the Chef cloud automation framework to make it easy to move between cloud providers.
Attila Narin discusses AWS concepts: Availability Zones, RDS Multi-AZ deployments, SQS and Auto Scaling, Elastic IP, load balancing, DNS, DynamoDB, Amazon S3, etc., and EC2 best practices.
Gil Tene discusses some common pitfalls encountered in measuring and characterizing latency, demonstrating and discussing some false assumptions and measurement techniques that lead to dramatically incorrect reporting results, and covers simple ways to sanity check and correct these situations.
Raffi Krikorian explains the architecture used by Twitter to deal with thousands of events per sec - tweets, social graph mutations, and direct messages-.
Mike Solomon shares some of the experiences and lessons learned scaling YouTube over the years.
Emad Benjamin explains how to deploy and tune a JVM on a virtual infrastructure (vSphere), and how to tune the garbage collector in this environment.
Ken Rimple shows how to write Spring Roo commands and features using the OSGi-based add-on API and how to extend the Roo shell using various Roo objects such as the FileManager and the ProjectManager.
Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.
Jian Zhong and Eric Cole present the infrastructure virtualization, SOA and Agile development methodology used by the US National Institutes of Health (NIH).
Marcelo Sousa Ancelmo discusses how DevOps and Agile can be used together to create services, mentioning strategies and tools needed for their continuous integration, delivery and deployment.
Hairong Kuang explains how Facebook uses HDFS to store and analyze over 100PB of user log data.