InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Building the Halo 4 Services with Orleans
Caitie McCaffrey does an overview of Orleans, the challenges faced when building the Halo 4 services, and why the Actor Model and Orleans in particular were utilized to solve these problems.
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Swift - Under the Hood
Alex Blewitt introduces the history behind Swift, why it was created, how it differs from Objective-C and how Swift is compiled and executed under the covers.
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To the Moon
Russ Olsen tells the moon landing story and how it has affected the software development.
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Lambda Architectures in Practice
Gian Merlino presents the advantages, challenges, and best practices to deploying and maintaining lambda architectures in the real world, using the infrastructure at Metamarkets as a case study.
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Java Performance Panel
The panelists discuss Java performance topics, bringing their specific experiences to bear.
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Efficient Data Storage for Analytics with Parquet 2.0
Julien Le Dem discusses the advantages of a columnar data layout, specifically the features and design choices Apache Parquet uses to achieve goals of interoperability, space and query efficiency.
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Stuff I Learned about Performance
Mike Barker shares lessons learned at LMAX Exchange: starting from a clean domain model is imperative and understanding the trade-offs between performance and safety/generality/functionality.
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Functional Programming on the Front-end with Facebook React
Dustin Getz,Daniel Miladinov demonstrate using Facebook React to build a CRUD editor, highlighting React's application of functional programming and immutability to manage complex application state.
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Deis + Mesos: Docker PaaS at Scale
Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.
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Gobblin: A Framework for Solving Big Data Ingestion Problem
Lin Qiao discusses the architecture of Gobblin, LinkedIn’s framework for addressing the need of high quality and high velocity data ingestion.
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Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets
Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.
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