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.
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.
Rachel Laycock advises on designing systems for rapid deployment, avoiding delivering pitfalls by using micro services and evolutionary architecture.
Francois Lascelles examines the role of API management infrastructure in API Security, API Access Control and API Federation and its interaction with enterprise infrastructure, social identity and application developers.
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.
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
Ben Christensen describes how the Netflix API evolved from a typical one-size-fits-all RESTful API designed to support public developers into a web service platform optimized to handle the diversity and variability of each device and user experience. The talk will also address the challenges involving operations, deployment, performance, fault-tolerance, and rate of innovation at massive scale.
Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.