InfoQ Homepage Scalability Content on InfoQ
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Going Reactive: Event-Driven, Scalable, Resilient & Responsive Systems
Jonas Bonér discusses how the four traits of reactive apps -Event-Driven, Scalable, Resilient and Responsive- impact app design, how they interact, and their supporting technologies and techniques.
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Deploying the Languages of the Future on Cloud Foundry
Andrew Crump shows how to deploy and scale applications written in a variety of languages (including Clojure and Erlang) to Cloud Foundry.
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Go Circuit: Distributing the Go Language and Runtime
Petar Maymounkov introduces Go Circuit, a system that reduces the human development and sustenance costs of complex massively-scaled systems nearly to the level of their single-process counterparts.
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Delivering Performance Under Schedule and Resource Pressure: Lessons Learned at Google and Microsoft
Ivan Filho shares lessons learned during the development and release of several large scale services at Microsoft and Google from the perspective of a performance manager.
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Lessons from Building LinkedIn Mobile - HTML5 & Node.js
Kiran Prasad discusses what impact mobile has on architecture, explaining how HTML5 and Node.js can help, and sharing how to use these technologies effectively at scale.
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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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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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Grails and the Real-time Web
Stephane Maldini on addressing several issues concerning web applications written with Grails: scrolling large data sets without blocking, streaming to the browser, scale Grails in the cloud, etc.
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Redesigning PayPal APIs for Scale and Simplicity
Deepak Nadig, Praveen Alavilli present how PayPal redesigned its APIs based on lessons learnt developing their services in over 14 years, and the principles, patterns and anti-patterns used.
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Graph Computing at Scale
Matthias Broecheler discusses graph computing, introducing the Aurelius graph cluster enabling graph computing at scale by building on distributed systems like Cassandra, HBase, and Hadoop.
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Growing from the Few to the Many: Scaling the Operations Organization at Facebook
Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.
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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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