InfoQ Homepage DevOps Content on InfoQ
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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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Jim Webber on Neo4J and Graph Database Use Cases
In this interview recorded at QCon NY 2012 Conference, Jim Webber from Neo Technology discusses the Graph database ecosystem, graph use cases, and tools for developing applications using Neo4j graph database.
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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.
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Patrick Debois on the State of DevOps
Patrick Debois discusses the ideas behind DevOps, popular DevOps tools like Chef and Puppet, DevOps vs NoOps, and much more.
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Operating Node.js in Production, with Bryan Cantrill
Bryan talks about the challenges of operating Node.js in real production environments and the experiences he had working with it at Joyent. He also talks about DTrace, SmartOS, V8 and compares with other platforms.
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Hadoop and NoSQL in a Big Data Environment
Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
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Gil Tene Discusses Garbage Collection, the OpenJDK and the JCP
Gil Tene talks to Charles Humble about different garbage collection techniques, and specific collectors including Azul's C4, IBM's Balanced GC, and Oracle's Garbage First, before moving on to discuss both the JCP and OpenJDK.
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CloudBees' Sacha Labourey Discusses the Role of Java EE in PaaS
Sacha Labourey talks to Charles Humble about the general PaaS vendor landscape, where CloudBees' fits, and the role of Java EE within the firm's platform.
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Costin Leau on Spring Data, Spring Hadoop and Data Grid Patterns
In this interview recorded at JavaOne 2011 Conference, Spring Hadoop project lead Costin Leau talks about the current state and upcoming features of Spring Data and Spring Hadoop projects. He also talks about the Caching and Data Grid architecture patterns.
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Jez Humble on Continuous Delivery
In this interview at Agile 2011, Jez Humble discusses continuous delivery and the deployment pipeline, emphasizing the importance of feedback and automating tests at every level to validate deployments. Gone are the days of massive acceptance test scripts. He also talks about the evils of feature branching, and speaks on the DevOps practices to collaborate all the way through the delivery cycle.
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Orion Henry on Heroku, Doozer and Paxos, Ruby
Orion Henry explains what make Heroku's PaaS tick, in particular the new extensible Cedar stack as well as Doozer, the implementation of the Paxos algorithm created at Heroku.
