InfoQ Homepage Cloud Computing Content on InfoQ
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How We Built a Cloud Platform Using Netflix OSS
Carl Quinn explains how Riot Games built a cloud platform based on the Netflix OSS stack plus a number of other extensions including Dropwizard, Eureka, Archaius, Asgard, Edda, etc.
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Building an Enterprise PaaS
Dave McCrory discusses what it takes to build an Enterprise Platform as a Service, covering data services, design principles, CI, monitoring, coding standards, dependencies, security, and deployment.
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The Lean Pipeline
Joakim Recht discusses how Tradeshift moved from manual deployment processes to automation and what this means in terms of organizational scalability, technology, transparency, and culture.
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A/B Testing + Continuous Delivery = Everyday Product Launches
Nellwyn Thomas discusses how Etsy is using A/B testing, how Etsy's data-driven culture has evolved over time and how continuous delivery and big data can coexist.
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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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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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Building Connected Android Apps with Azure
Chris Risner demos an Android app built with Azure Mobile Services using structured data stored in the cloud, GCM push notifications with a single line of code, authentication, security and others.
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Mapping Etsy's Front-end
Daniel Espeset talks about how Etsy built an incremental compiler for the JavaScript modules, and used it to see how static assets are compiled, being deployed, and loaded.
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Migrating to Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration from monolithic applications towards cloud-based REST microservices.
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Deployed in 60 Minutes: Increasing Production Deployments from Six Months to Every Hour
Sponsored by Twilio. Matt Makai explores why deployments are difficult and shows solutions with case studies on how other organizations cut their production deployment times down from months to hours.
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The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
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The Microsoft Cloud OS Data Platform
Anthony Saxby introduces the new capabilities added to SQL Server, SQL Server PDW and HDInsight in the first half of 2014.