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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.
Floyd Marinescu shares how the virtual teams behind InfoQ.com and QCon are run; Processes, tools, & mindset needed to succeed in a completely virtual work environment that delivers happiness and alignment. Each practice is explained in the context of how it fosters purpose, autonomy, mastery, and a sense of progress.
Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
Cameron Barrie, James Brett, Stewart Gleadow share lessons learned using Agile methodologies to build an iOS application, discussing its architecture and the benefits of hybrid apps.
Jim Driscoll discusses using ADFm to create and change Groovy scripts at runtime and debugging a live system with JWDP.
Kyle Boon reviews 3 frameworks for building RESTful WS- Grails, Dropwizard and Ratpack-, comparing their code readability, maintainability, deployment, metrics collection, scalability and testability.
Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.
Bill Yetman and Jeremy Pollack discuss using several Agile techniques -start simple, get going, iterate- and the “measure everything” principle to create the architecture behind the Family History website.
Greg Brockman shares Stripe's principles powering their software projects and the culture instilled to avoid the usual software engineering traps: failed rewrites, delayed timelines, etc.
Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.