InfoQ Homepage QCon New York 2014 Content on InfoQ
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Whither Web programming?
Gilad Bracha keynotes on what's keeping web technologies from being on par with their native counterparts.
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Priming Java for Speed at Market Open
Sponsored by Azul. Gil Tene discusses issues with dynamically optimized environments used for trading systems along with techniques for dealing with them, including JVM performance tune up tricks.
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Analyzing Big Data On The Fly
Shawn Gandhi overviews real-time processing use cases, and how developers are using AWS Kinesis to shift from a traditional batch-oriented approach to a continual real-time data processing model.
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All Your API Are Belong to Us
Paul Hill presents a case study of building an API with a short deadline using Node.js, WebSocket, MongoDB, JSON, Promises, Swagger, Memcached, Varnish and Hypermedia ReST.
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Parallel-lazy Performance: Java 8 vs Scala vs GS Collections
Sponsored by Goldman Sachs. Java 8 has Streams, Scala has parallel collections, and GS Collections has ParallelIterables. How well do they perform?
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How WebMD Maintains Operational Flexibility with NoSQL
Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.
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Clients Matter, Services Don't
Mike Amundsen reviews patterns in developer practices and trends in services and libraries that emphasize the idea that in the end "Clients Matter, Services Don't".
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Let Me Graph That For You: Building a Graph Database Application
Ian Robinson introduces tools and techniques for building a system around a graph engine, experiment with graph data, and using it in an application.
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Deployed in 60 Minutes: Increasing Production Deployments from Six Months to Every Hour
Sponsored by Twilio. Matt Makai explores why deployments are difficult and shows solutions with case studies on how other organizations cut their production deployment times down from months to hours.
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10 Reasons Why Developers Hate Your API
John Musser takes a look at some of the common mistakes made by API providers, providing advice on what can be done to avoid them.
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The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
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Canonical Models for API Interoperability
Ted Epstein shows how a shared canonical model can make life easier for API consumers, while still allowing the flexibility to expose different services, with different contextual requirements.
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