Jeff Magnusson takes a deep dive into key services of Netflix’s “data platform as a service” architecture, including RESTful services that: provide comprehensive metadata management across data sources (Franklin); enable visualization and caching of results of Hadoop jobs (Sting); and visualize the execution plans produced by languages such as Pig and Hive (Lipstick).
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.
Peter Niederwieser discusses building a continuous delivery pipeline with Gradle and Jenkins.
Rob Witoff presents how JPL and the Curiosity rover mission use cloud computing, including EC2, CloudFormation, Simple Storage Service, 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, load balancer-free DNS architecture 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.
Joshua Ballanco introduces Immutant, Immutant Overlay, HornetQ and OpenShift to Ruby and Rails developers.
Peter Ledbrook reviews how cloud computing, multiple data stores and multi-device client UI influence the creation of web applications in Grails.
Karim Chine introduces Elastic-R, demonstrating some of its applications in bioinformatics and finance.
Hugo Duncan introduces Pallet, a DevOps Clojure tool for provisioning and automating cloud server instances. (Lighting talk.)