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Synergistic Effects: A Mixed Remote/In-house Team Can Be Better than the Sum of Its Parts
Dana Caulder discusses how to improve team communication and delivery, aligning processes and tooling for iterative improvement, processes to mitigate team member turnover and speed-up onboarding.
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Java Marshalling: A Performance Approach
Todd Montgomery proposes a new approach to marshalling in Java using FIX/SBE, new marshalling API approaches, and the extensive application of mechanical sympathy to this problem domain.
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Lean Apart: A Case Study in Agile UX Design for a Distributed Team
Jennifer Hayes, Adam Archer present how they built a mixed team (local&remote) to learn the practice of design studios, making them an integral part of doing UI design.
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Everything I Learned About Scaling Online Games I Learned at Google and eBay: Scalability at KIXEYE
Randy Shoup shares war stories from eBay and Google about performance, consistency, iterative development, and autoscaling, connecting them with experiences building KIXEYE's gaming platform.
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Top 10 - Performance Folklore
Martin Thompson discusses Java, concurrency, operating systems, and functional programming in the context of designing and testing high-performance systems.
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Practicing at the Cutting Edge: Learning and Unlearning about Java Performance
Martin Thompson overviews Java's evolution, comparing it with C++'s, discussing the challenges of pushing the performance limits.
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How Zynga Handles Monitoring at Scale in Its Hybrid zCloud
Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.
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Build Your Own PaaS the Netflix Way!
Sudhir Tonse presents Netflix' composable PaaS built with several components that have been open sourced.
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Architecting Organizations for the Cloud
Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.
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From The Lab To The Factory: Building A Production Machine Learning Infrastructure
Josh Wills discusses using Hadoop technologies to build real-time data analysis models with a focus on strategies for data integration, large-scale machine learning, and experimentation.
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Data Science for Hire Ed
Gloria Lau describes some of the products built for the higher education sector, the data standardization process, determining school similarity and identifying notable alumni.
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Machine Learning & Recommender Systems at Netflix Scale
Xavier Amatriain discusses the machine learning algorithms and architecture behind Netflix' recommender systems, offline experiments and online A/B testing.
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