InfoQ Homepage Programming Content on InfoQ
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Generics and Java's Evolution
Richard Warburton explains how to make effective use of Generics. Warburton sheds light on the planned changes in Java 10 using practical code examples at every step.
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Life of a Twitter JVM Engineer
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
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Real-time Stream Computing & Analytics @Uber
Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.
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Open Source Swift Under the Hood
Alex Blewitt talks about Swift and looks at the open source project, how applications and libraries can be built, the differences between the different builds and how Swift works under the hood.
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Stream Processing with Apache Flink
Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.
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The Case for Bringing Swift to the Server
Patrick Bohrer and Chris Bailey present a preview of IBM latest cloud deployment configurations, Swift package-based cloud services, tools integration, and their plan to bring Swift to the server.
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Artificial Intelligence that Plays Atari Video Games: How Did Deep Mind Do It?
Kristjan Korjus discusses deep learning, reinforcement learning and their combination called deep Q-Network.
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Git Journey from Mars to Neon
Matthias Sohn presents the Git features that are implemented in Eclipse Neon including git-flow commands, support for attributes, hooks and filters, versioning large binary files and others.
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Docker, Vagrant and Kubernetes Walk into an Eclipse'd Bar
Max Rydahl Andersen explains how one can use Docker and Vagrant today with Eclipse to improve the local development experience and then cover how it all came together in the cloud and container space.
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Flying Faster with Heron
Karthik Ramasamy presents the design and implementation of Heron, the new de facto stream data processing engine at Twitter. Ramasamy shares Twitter’s experience of running Heron in production.
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Rethinking Streaming Analytics for Scale
Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.
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Node4J: Running Node.js in a JavaWorld
Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.
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