Dustin Huptas, Andreas Schmidt present some of the operational challenges met when dealing with microservices, and offer solutions from the field of automation and service discovery.
Colin Humphreys and Paula Kennedy compare and contrast the Platform-as-a-Service(PaaS) and the Docker containers approaches.
Andrew Kennedy talks about the reasons for creating a Docker cloud and how Clocker was born.
John Sheehan presents choices – queues, proxies - helping a microservices architecture to stay robust and reliable, along with automation strategies allowing Runscope to deploy code 100 times a day.
Colin Mower discusses the challenges met using together Cloud, Big Data, Mobile and Security and how these can work together to achieve business value.
Mike Bowler discusses CD, the build pipeline and version control practices and automated testing, exploring best practices and pitfalls, and making the deployment question a business decision.
Jessie Frazelle talks about which customer cases drove Docker clustering and describes the key technical decisions and code in the implementation.
Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps and Continuous Delivery.
Dave Farley discusses the problems raised by inefficient processes creating poor quality output, too late to capitalise on the expected business value, and proposes solutions to them.
Stephen Thair talks about organisations leveraging DevOps practices to deliver better software, faster and how they do it.
Sean Owen introduces Spark, Scala and random decision forests, and demonstrates the process of analyzing a real-world data set with them.
Dave McCrory talks about what is Data Gravity, how it affects performance and portability and why these effects are amplified when there are larger volumes of data.