InfoQ Homepage Architecture & Design Content on InfoQ
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Scala vs Idris: Dependent Types, Now and in the Future
Miles Sabin and Edwin Brady exemplify what can be done with a language with dependent types, what are the limitations and what could be done in the future when dependent types reach maturity.
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Raft - The Understandable Distributed Protocol
Ben Johnson discusses the Raft protocol and how it works. Raft is a consensus distributed protocol.
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The Present and Future of the Web Platform
Brendan Eich surveys interesting developments in the Web platform, analysing emergent trends, and making some predictions.
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Deploying Machine Learning and Data Science at Scale
Nick Kolegraff discusses common problems and architecture to support all the phases of data science and how to start a data science initiative, sharing lessons from Accenture, Best Buy, and Rackspace.
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Message Driven Architecture in Grails
Dan Woods discusses using Spring Integration and design patterns to implement a message-driven architecture in Grails to allow for better modularity, scalability, and code reusability.
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How Netflix Architects for Survival
Jeremy Edberg discusses how Netflix designs their systems in order to survive outages, network latency and random instance failure.
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The Magic Behind Enterprise Apps: How to Expose Reliable, Scalable and Secure Enterprise APIs?
Blake Dournaee covers the often forgotten back-end architecture for mobile apps which should expose cross-platform APIs to mitigate some of the effects of mobile O/S fragmentation.
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Samza: Real-time Stream Processing at LinkedIn
Chris Riccomini discusses: Samza's feature set, how Samza integrates with YARN and Kafka, how it's used at LinkedIn, and what's next on the roadmap.
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The Unreasonable Effectiveness of Tuning
Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.
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Grails SOA: Building Distributed Scalable Services with Grails and RabbitMQ
Steve Pember discusses creating Grails applications integrating message broker technologies, especially RabbitMQ, and applying SOA principles.
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Spanner - Google's Distributed Database
Sebastian Kanthak details how Spanner relies on GPS and atomic clocks to provide two of its innovative features: Lock-free strong reads and global snapshots consistent with external events.
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Functional Programming for Optimization Problems with City of Palo Alto Open Data
Paco Nathan reviews an example data analysis application written in Cascalog used for a recommender system based on City of Palo Alto Open Data.
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