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Reinventing Rackspace: Agile-techture - Nimble Cloud Engineering
Wayne Walls discusses how Rackspace does cloud based on OpenStack, touching: open source, cloud on cloud, continuous delivery, and open API.
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Staged Program Development
K. Rustan M. Leino advocates developing in stages by using languages that offer both design level abstractions – types, contracts, higher-level constructs, ghost constructs- and implementation ones.
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Continuous Development, Growing Pains
John Stevenson presents Atlassian’s values, detailing how its culture formed and was maintained while growing over time.
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Information Rich Programming with F# 3.0
Donna Malayeri speaks on information rich programming with F# 3.0’s type providers and query expressions, explaining how type providers work under the hood.
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Grails Update
Jeff Brown presents what’s new in Grails 2.0, 2.1 and 2.2, and informs on the enhancements to be introduced with 2.3.
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Keynote: The New Application Architectures
Adrian Colyer discusses the application architecture emerging these days defined by a departure from server-side apps to a model characterized by smart clients and services.
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Types vs. Tests: An Epic Battle?
Amanda Laucher and Paul Snively debate solving problems through types and tests using different approaches.
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Making the Web Faster at Google and Beyond
Ilya Grigorik shares details on Google’s project to make the web faster: some of their findings on what slows down the web experience and how they improved it in Chrome and services.
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Behind the Mirror
Chris Granger discusses the need for enhancing the learning tools starting from his own experience watching through a mirror people trying to solve problems at Microsoft.
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Introduction to Stratos
Paul Fremantle introduces Stratos/Stratos Live, explaining some of the design decision made for it, the tenancy model used, and some of its capabilities.
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Developing Advanced IDE Functionality for Your DSLs
Alex Shatalin and Václav Pech discuss several language workbenches features - type system, dataflow, VCS, refactoring, debugging, and others – with examples based on JetBrains MPS.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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