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.
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.
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.
Patrick Debois discusses the ideas behind DevOps, popular DevOps tools like Chef and Puppet, DevOps vs NoOps, and much more.
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.
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.
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.
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.
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.
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.
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.
Terracotta creator Ari Zilka talks about about the RAM is the new disk and argues for scaling up before scaling out, comparing the architectural approaches of lots of VMs with small heaps vs. a few JVMs with very large heaps. Ari introduces BigMemory, a Java add-on to Enterprise Ehcache, which allows app designs with huge amounts of memory accessible in-process, with minimal garbage collection.