InfoQ Homepage Architecture & Design Content on InfoQ
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Planning for Overload
Fred Hebert introduces two strategies for handling overload -load-shedding and back-pressure- along with different ways to make them work in Erlang focusing on the importance of planning for overload.
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Enterprise JavaScript Architectures–With Some Vanilla Topping
Adam Rocska discusses how to approach an enterprise web front-end architecture, including quality assurance, code documentation, deployment, architectural planning and task delegation.
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How Facebook Scales Big Data Systems
Jeff Johnson introduces Apollo, a hierarchical NoSQL data system meant to deal with Facebook's distributed storage needs.
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Data Modeling for Scale with Riak Data Types
Sponsored by Basho. Sean Cribbs discusses the theory behind several rich data types introduced with Riak 2.0 and then walking through some example applications that use them in popular languages.
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Migrating to Cloud Native with Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration towards modern enterprise applications based on cloud, microservices and denormalized NoSQL databases.
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High Performance Reactive Applications with Vert.x
Tim Fox discusses the design principles and motivation behind Vert.x and why the future is reactive.
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Wix Architecture at Scale
Aviran Mordo introduces Wix's architecture, a highly available eventually consistent system, along with patterns for rendering many websites with a relatively small number of servers.
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Designing for Language - And We Mean the Spoken Kind
Terena Bell underlines the importance of designing applications for multiple languages including right-to-left ones in an age of rapid globalization.
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Whither Web programming?
Gilad Bracha keynotes on what's keeping web technologies from being on par with their native counterparts.
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Analyzing Big Data On The Fly
Shawn Gandhi overviews real-time processing use cases, and how developers are using AWS Kinesis to shift from a traditional batch-oriented approach to a continual real-time data processing model.
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Distributed Systems in Production
Jeff Hodges discusses tactics and strategy for creating distributed systems today and a little about what the future holds.
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10 Billion a Day, 100 Milliseconds Per: Monitoring Real-Time Bidding at AdRoll
Brian Troutwine shares insight on using Erlang for a highly concurrent and very low latency bidding system implemented by Adroll.
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