Steve Arnold introduces Flow, an Agile method combining concepts from DevOps, Lean and Kanban, based on the idea that a requirement is worked on at each point of the software delivery pipeline.
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.
Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.
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.
Hans Dockter discusses build systems from a declarative vs. imperative perspective, the importance of a rich execution model and problems with POM, providing examples from Gradle, Maven and Ant.
Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.
Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.
Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.
Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
Adrian Smith covers symptoms, root problems and guidance on recommended solutions for avoiding automated testing mistakes.
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.