InfoQ Homepage Infrastructure Content on InfoQ
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How a Small Team Scales Instagram
Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.
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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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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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Working with Databases and Groovy
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
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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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Add ALL the Things: Abstract Algebra Meets Analytics
Avi Bryant discusses how the laws of group theory provide a useful codification of the practical lessons of building efficient distributed and real-time aggregation systems.
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Big Data Platform as a Service at Netflix
Jeff Magnusson details some of Netflix' key services: Franklin, Sting and Lipstick.
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The Search for Sustainable Innovation
The panelists discuss innovation at the enterprise level avoiding the business’ constant volatility.
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