The implementation of Linux Containers provides enough flexibility to isolate applications with restricted access to CPU, memory and networking within others. While this technology is stable and produ …

A Security State of Mind: Compliance and Vulnerability Audits for Containers Data breaches are on the rise and placing increased pressure on Enterprise IT to protect the business. With the rise of De …

R has long been criticized for its limitations on scalable data analytics. What's needed is an R-centric paradigm that enables data scientists to elastically harness cloud resources of manifold computing capability for large-scale data analytics. Le Zhang and Graham Williams demonstrate how to operationalize an E2E enterprise-grade pipeline for big data analyticsall within R.

Dan Heidinga explains how a simple slogan revolutionized how IBM's J9 Java VM team creates the software that powers your Java applications and shares lessons learned from rearchitecting IBM's build pipeline around simplicity, in the process, becoming a key enabler for driving innovation throughout the product stack.

Most developers use a Mac or Windows host to develop Docker Linux containers, which complicates filesystem sharing between the host and the Linux container and requires replicating Linux networking configuration locally. Anil Madhavapeddy and Richard Mortier outline ways to make using Docker on a Mac or Windows transparent, thus enabling a rapid test/edit/deployment cycle for microservices.

Using Chef or Puppet to manage your containers? Manually pushing on green to your orchestration system? David Dennis outlines an easier, better way that notifies you of available stack updates, automatically creates new Dockerfiles, and integrates Slack, Bitnami Stacksmith, Jenkins, and Kubernetes.

Erlang/OTP has for years been described as the secret sauce to writing scalable and available systems. However, Erlang alone will not perform any magic. Francesco Cesarini walks attendees through the topology patterns of modern distributed Erlang architectures, discussing the trade-offs in scalability and reliability, the actor model, the failure model, and the built-in distribution model.

Recent high-profile data breaches have made it clear that traditional security based on n-tier application partitioning is broken. As we move into the container era, there is a huge opportunity to revolutionize security by rendering developer intent directly into the network fabric. Andrew Randall presents an open source approach to this problem, leveraging proven IP networking and Linux concepts.

Richard Mortier and Anil Madhavapeddy demonstrate the integration of MirageOS, Rumprun unikernels, and the Docker container management toolchain, discuss the relationship between MirageOS (clean slate), Rumprun unikernels, and Linux Containers, and show how it is getting steadily easier to extend everyday workflows and deployments with unikernel technology.

Martin Yip and Justin Murray explore the benefits of virtualization of Hadoop on vSphere and delve into three different examples of real-world deploymentsat small, medium, and large scalesto demonstrate how enterprises are currently deploying Hadoop differently on virtual machines.