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.
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
Jacob Mather shows how to transition a development stack from a local machine to a virtual solution on a server that can be extended to a private cloud.
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.
Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.
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.
Mike Nolet shares lessons learned scaling AppNexus and architectural details of their system processing 30TB/day: Hadoop, DNS built in GSLB and Keepalived, and real-time data streaming built in C.
Antoni Batchelli introduces VMFest, a PalletOps project used to turn VirtualBox into a lightweight cloud provider, good for developing cloud automation.