Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
Shawn Gandhi overviews real-time processing use cases, and how developers are using AWS Kinesis to shift from a traditional batch-oriented approach to a continual real-time data processing model.
Ryan Vanderwerf explains how to create and deploy a Grails application on AWS VPC using various services such as RDS, S3, autoscaling, S3FS, EBS, etc.
Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.
Nic Williams discusses deploying Cloud Foundry on AWS or OpenStack using Bosh, a tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
Rob Witoff presents how JPL and the Curiosity rover mission use cloud computing, including EC2, CloudFormation, and Simple Workflow - to enable research, engineering and operations technologies.
Clay McCoy discusses using Groovy’s metaprogramming capabilities and AWS SWF to deal with unreliable remote services, parallelization, scheduling critical timers, and server failures.
Joe Sondow presents how Netflix uses Asgard to deploy code updates and manage resources in the Amazon cloud.
Ward Cunningham keynotes on how Events, Sockets, CORS, Closures, SVG, DSLs, Canvas, EC2 and Raspberry Pi contribute to a new type of wiki, a federated one.
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.
Shanley Kane discusses Dynamo - consistent hashing, vector clocks, hinted handoff, gossip protocol - advances in each area, and how querying and application development has changed as a result of them
Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.