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Grails Goes Graph
Stefan Armbruster discusses building a Grails application with a graph data store based on Neo4j and sharing insight based on his own experience using such a system in production.
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Functional Reactive Programming in the Netflix API
Ben Christensen describes how Neflix has optimized their API using a functional reactive programming (modeled after Rx) in a polyglot Java stack.
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The Structure of API Revolutions
Daniel Jacobson shares advice on dealing with evolving APIs based on his experience with Netflix APIs.
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A Little Graph Theory for the Busy Developer
Jim Webber explores graph data analytic techniques using social graph properties inspired by anthropology and sociology, extracting online business intelligence from graph matching.
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Go at Google
Rob Pike explains how Google designed Go to address major development issues they encounter while using other languages: long build times, poor dependency management, lack of robustness, etc.
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Practical Cloud Foundry
Phil Webb offers tips and code samples on how to refactor existing code for the cloud, alternatives to the file system, compiling without the JDK, dealing with gateway timeouts and how to run Tomcat 7
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Cloud Foundry Architecture
Ramnivas Laddad sketches the architecture of Cloud Foundry, explaining how they manage to do hot swaps without application downtime, including lessons applicable in general distributed environments.
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Architectural Patterns for High Availability
Adrian Cockcroft presents Netflix globally distributed architecture, the benchmarks used, scalability issues, and the open source components their implementation is based upon.
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Cloud Foundry Bootcamp
Josh Long and Eric Bottard cover the basics of Cloud Foundry PaaS, how to use it, how to install and use Micro Cloud Foundry, including hands on installation troubleshooting.
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(un)Common Sense
Mike Solomon shares some of the experiences and lessons learned scaling YouTube over the years.
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River Trail – Parallel Programming in JavaScript
Stephan Herhut introduces Intel's Parallel JavaScript (formerly known as "River Trail"), a new parallel programming API designed for JavaScript.
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Google Apps' Identity Crisis
Derek Parham discloses details of the largest and most complicated user migration and code refactoring in Google’s history when all their services were made available to Google Apps users.
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