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Understanding Java Garbage Collection and What You Can Do about It
Gil Tene explains how a garbage collector works, covering the fundamentals, mechanism, terminology and metrics. He classifies several GCs, and introduces Azul C4.
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Polyglot Parallelism: A Case Study in Using Erlang and Ruby at Rackspace
Phil Toland discusses using Erlang and Ruby providing backup for 20k network devices running in 8 datacenters across 3 continents for Rackspace’s operations.
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Cross-Platform Tools: Build Once and Run Everywhere
Alexey Karpik reviews JS libraries – Sencha, JQuery, Jo-, frameworks –Rhomobile, M-Project-, and tools –PhoneGap, MoSync, Appcelerator, Antenna-, discussing how they fare with mobile development.
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Mobile App Development Models
Rob Chipperfield compares several platforms and solutions for building cross-platform mobile applications: Titanium, Sencha, PhoneGap, and Nomad.
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Building Your Own Java, Part 1
Alex Shatalin and Václav Pech hold a hands on demonstration on using JetBrains MPS to generate a new language, including version control, debugging, testing, refactoring, etc.
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Asynchronous Programming on the Server and the Client in F#
Tomas Petricek demoes server-side and client-side asynchronous programming with non-blocking code and without inversion of control in F#.
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Netflix: Movies, When You Want, Where You Want, from the Cloud!
Jeremy Edberg discusses running Netflix services on AWS: storage, streaming and scaling solutions, multi-region deployments, why cloud over private data center, and architectural snapshots.
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Windows Azure
Scott Guthrie has a hands on session demonstrating some of the Windows Azure’s main features, such as storage, websites, services, SQL, blobs, cache, etc.
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Connecting Millions of Mobile Devices to the Cloud
Damien Katz explains how Couchbase Syncpoint provides real time data synchronization capabilities between multiple mobile devices and the cloud.
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AIR Matters
Kevin Korngut introduces Adobe AIR, a cross-platform runtime environment for desktop and mobile applications.
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Functional Architecture
Phil Trelford suggests domains, such as modeling, DSLs, concurrency, for which functional programming is well-suited, and areas for which an OO or a mixed approach has better results.
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Going for Speed: Testing Against Performance Expectations
Jay Harris offers tips on using unit testing to improve the performance of applications.
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