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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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Containerization Is More than the New Virtualization
Jérôme Petazzoni borrows from his experience at Docker Inc. to explain live applications running in Docker, including reading logs, remote access, and troubleshooting tips.
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Real-world Docker: Past, Present, and Future
Jeff Lindsay talks about the history and future of Docker, and shares some of his cutting-edge tooling for deploying systems with Docker.
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Too Big to Fail: Running A/B Experiments When You're Betting the Bank
Andrea Burbank discusses the risks, benefits, and lessons from running a single huge experiment with hundreds of moving parts, and with long-term engagement as the metric of success.
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