InfoQ Homepage QCon New York 2014 Content on InfoQ
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Building an Enterprise PaaS
Dave McCrory discusses what it takes to build an Enterprise Platform as a Service, covering data services, design principles, CI, monitoring, coding standards, dependencies, security, and deployment.
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Big Data in Capital Markets
The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.
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Are Your G1GC Logs Speaking to You?
Kirk Pepperdine explains how to use the G1GC logging to improve app performance while reducing its hardware footprint.
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Akka for Concurrency Works
Duncan DeVore reviews the challenges of concurrent programming on the JVM and explores Akka, a toolkit and runtime for building highly concurrent, distributed applications on the JVM.
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Spring 4 on Java 8
Juergen Hoeller introduces Spring 4 and illustrates selected Java 8 features in interaction with Spring's programming model, exploring their immediate practical impact.
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A/B Testing + Continuous Delivery = Everyday Product Launches
Nellwyn Thomas discusses how Etsy is using A/B testing, how Etsy's data-driven culture has evolved over time and how continuous delivery and big data can coexist.
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A Day in the Life of a Functional Data Scientist
Richard Minerich explains how ideas and tools from functional programming can save time, prevent subtle mistakes in data science, and how he incorporates them into his everyday workflow.
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Advanced Data Visualization: HTML5 and Risk Analysis
Fabrice Aresu discusses the challenges faced using HTML5 and data visualization at a large European Investment Bank, covering performance, architectural & design choices, and lessons learnt.
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Evolving Java
Brian Goetz describes the future directions for the Java language, especially changes introduced in Java 8, and details the approach taken for key language evolution choices.
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How Facebook Scales Big Data Systems
Jeff Johnson introduces Apollo, a hierarchical NoSQL data system meant to deal with Facebook's distributed storage needs.
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Data Modeling for Scale with Riak Data Types
Sponsored by Basho. Sean Cribbs discusses the theory behind several rich data types introduced with Riak 2.0 and then walking through some example applications that use them in popular languages.
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Migrating to Cloud Native with Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration towards modern enterprise applications based on cloud, microservices and denormalized NoSQL databases.