InfoQ Homepage Cloud Computing Content on InfoQ
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Michael Nygard - Redefining CAP
In this InfoQ interview, Michael Nygard explores some of the available loopholes in the CAP theorem helping architects to engineer distributed systems that meet their needs. He also discusses new patterns he’s observed since his book, Realease IT and shares his thoughts on continuous delivery, DevOps and ALM.
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Jeff Sussna on Continuous Delivery, Cloud Journey and AWS Momentum
IT thought leader Jeff Sussna answers a range of questions about operational efficiency and cloud trends. He discusses new thinking around production freezes and adopting continuous delivery. Sussna explains how companies should understand the entire lifecyle of a customer’s cloud experience. Finally, he shares insight into AWS and their leading position in the cloud.
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Adrian Cockcroft on Architecture for the Cloud
In this interview we talk with Adrian Cockcroft, the architect for Netflix’s cloud systems team. We discuss how Netflix combines 300 loosely coupled services across 10,000 machines. An interesting revelation is that they fully embrace continuous delivery and each team is allowed to deploy new versions of their service whenever they want.
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The Rise of DevOps with Jesse Robbins
Jesse Robbins of Opscode discusses how the concept of deploying, maintaining, and updating a software solution has begun to evolve into the concept of DevOps. This new player in the development landscape blurs the lines betwee Development and Operations teams and creates a new practice of Infrastructure as Code.
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Continuous Delivery and the Four Principles of Low-Risk Software Releases
More than a year since his book Contiuous Delivery came out, author Jez Humble talks about changes in CD, and its relationships with Cloud development, ALM. He also shares his Four Principles Of Low-Risk Software Releases. Other topics include TDD, feedback at different stages of the pipeline, and his involvement with Devops.
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Robert Winch on Spring Security and Multi-Tenant Applications on the Cloud
In this interview recorded at QCon NY 2012 Conference, Spring Security project lead Robert Winch discusses the new features of Spring Security 3.1 version and design strategies for multi-tenant cloud applications.
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Peter Bell on the State of Java, Managing Software Development Teams, Startups
Peter Bell discusses the state of Java today and whether startups are using it or not, polyglot programming, startups in New York, how to keep up to date with technology, and much more.
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Techniques for Disciplined Agile Delivery
Based onconcepts presented in his book, Scott Ambler describes Disciplined Agile Delivery (DAD) as a hybrid approach that extends Scrum, Agile modeling, Unified Process. DAD is a people-first process that's goals-based rather than prescriptive, addresses the entire lifecycle and shares many concepts presented in continuous delivery. Scott also discusses the DevOps movement and how DAD addresses it
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Rick Hudson on Parallel JavaScript (RiverTrail)
In this interview, Intel's Rick Hudson talks about Parallel JavaScript (formerly known as "RiverTrail"), a new parallel programming API designed specifically for JavaScript. Rick describes RiverTrail and its vision of how to leverage current and future parallel hardware from within the browser and JavaScript.
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Henrik Kniberg on Lean From The Trenches, Translating the Agile Manifesto and Living Agile
Henrik Kniberg discusses the journey to writing his latest book "Lean from the Trenches", the translation of the Agile Manifesto as well as his recent travels and Lean Startup projects.
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Big Data Architecture at LinkedIn
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
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Optimizing for Big Data at Facebook
Hive co-creator Ashish Thusoo describes the Big Data challenges Facebook faced and presents solutions in 2 areas: Reduction in the data footprint and CPU utilization. Generating 300 to 400 terabytes per day, they store RC files as blocks, but store as columns within a block to get better compression. He also talks about the current Big Data ecosystem and trends for companies going forward.
