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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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Debugging Java 8: New Techniques for Fixing Production Code
Tal Weiss discusses some essential tools and advanced techniques Java developers can use in their code to debug live servers and resolve errors quickly.
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How I Learned to Stop Worrying & Love the Lambda
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
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Consul: Service-oriented at Scale
Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.
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Scalable Microservices at Netflix. Challenges and Tools of the Trade
Sudhir Tonse discusses about the robust interprocess communications (IPC) framework that Netflix built (Ribbon).
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