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Building a Global Caching System at Netflix: a Deep Dive to Global Replication
Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and flexible replication strategies. By implementing batch compression and switching to DNS-based discovery, Netflix optimizes efficiency, reduces bandwidth usage and significantly lowers operational costs.
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Article Series - .NET Core - 2nd Series
In this series, we explore some of the benefits .NET Core and how it can help traditional .NET developers and all technologists who need to bring robust, performant and economical solutions to market
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Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines
InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
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Implementing Master-Worker with Terracotta
A real world case study of a consultancy that distributed the load & increased scalability of its applications using Terracotta using the Master/Worker pattern.
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Web Applications with Spring Web Flow and Terracotta for Spring
In this article we will first give you an overview of Spring Web Flow and Terracotta for Spring, and after that show you how you can use these technologies together to enter a new dimension in writing stateful, conversational, scalable and highly available web applications.
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Introduction to OpenTerracotta
OpenTerracotta is an open source enterprise-class JVM clustering solution that can take multi-threaded single-JVM apps and have them run across multiple JVMs with no code changes. Orion Letizi goes super-indepth on Terracotta and how it works, explaining how to do session replication, distributed caching, master/worker, and more.