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Red Hat needs to get real about the cloud

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Red Hat

Serving enterprise datacenters won't sustain Red Hat. OpenShift and what it represents may be crucial to the company's long-term survival

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Servers News: OpenStack, Containers, and HPC

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  • eBay builds its own tool to integrate Kubernetes and OpenStack

    Intent on keeping its developers happy, the e-commerce company has developed a framework for deploying containers on its large-scale OpenStack cloud.

  • Guide to the Open Cloud: The State of Micro OSes

    What are micro operating systems and why should individuals and organizations focused on the cloud care about them? In the cloud, performance, elasticity, and security are all paramount. A lean operating system that facilitates simple server workloads and allows for containers to run optimally can serve each of these purposes. Unlike standard desktop or server operating systems, the micro OS has a narrow, targeted focus on server workloads and optimizing containers while eschewing the applications and graphical subsystems that cause bloat and latency.

    In fact, these tiny platforms are often called “container operating systems.” Containers are key to the modern data center and central to many smart cloud deployments. According to Cloud Foundry’s report “Containers in 2016,” 53 percent of organizations are either investigating or using containers in development and production. The micro OS can function as optimal bedrock for technology stacks incorporating tools such as Docker and Kubernetes.

  • In-Memory Computing for HPC

    To achieve high performance, modern computer systems rely on two basic methodologies to scale resources. Each design attempts to bring more processors (cores) and memory to the user. A scale-up design that allows multiple cores to share a large global pool of memory is the most flexible and allows large data sets to take advantage of full in-memory computing. A scale-out design distributes data sets across the memory on separate host systems in a computing cluster. Although the scale-out cluster often has a lower hardware acquisition cost, the scale-up in-memory system provides a much better total cost of ownership (TCO) based on the following advantages:

Servers News

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2016: When Linux containers became mainstream

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  • Docker and Cloudera Team on Government-Focused Tech Solutions

    Late last year, Docker announced its Ecosystem Technology Partner program, thorough which it has sought to partner with organizations to offer customers better logging and visibility of their Dockerized applications. Throughout 2016, Docker continued to form key partnerships, and now Cloudera has announced that it has partnered with Docker, Inc. to provide Commercially Supported (CS) Docker Engines with a jointly developed solution to secure Docker container volumes.

    The integrated solution is targeted to let government agencies share data via cryptographically secure containers as part of a partnership where Cloudera provides level one and level two technical support backed by Docker.

  • Keynote: A Brief History of the Cloud from Servers to VMs to Buildpacks to Cloud Native Containers
  • Testing distributed systems in Go

    etcd is a key-value store for the most critical data of distributed systems. Use cases include applications running on Container Linux by CoreOS, which enables automatic Linux kernel updates. CoreOS uses etcd to store semaphore values to make sure only subset of cluster are rebooting at any given time. Kubernetes uses etcd to store cluster states for service discovery and cluster management, and it uses watch API to monitor critical configuration changes. Consistency is the key to ensure that services correctly schedule and operate.

  • “Prometheus itself is a product of a DevOps mindset”

    A lot of companies and organizations have adopted Prometheus and the project quickly gained an active developer and user community. It is currently a standalone open source project maintained independently of any company. In 2016, Prometheus joined the Cloud Native Computing Foundation as the second hosted project after Kubernetes. We talked to Björn Rabenstein, engineer at SoundCloud and Prometheus core developer, about how Prometheus can help companies adopt DevOps.

  • Keynote: Kubernetes: Finally...A True Cloud Platform by Sam Ghods, Co-founder, Box
  • Kubernetes: A True Cloud Platform

    The Kubernetes community is building a platform that will make application development completely cloud infrastructure agnostic. Sam Ghods, co-founder of Box, said Kubernetes’ combination of portability and extensibility put it in a class of its own for cloud application development, during his CloudNativeCon keynote in November.

  • Process Migration in the Orchestration World by Isabel Jimenez & Kapil Arya, Mesosphere
  • Saving Application State in the Stateless Container World

    Running applications in our brave new container orchestration world is like managing herds of fireflies; they blink in and out. There is no such thing as uptimes anymore. Applications run, and when they fail, replacements launch from vanilla images. Easy come, easy go. But if your application needs to preserve state, it and must either take periodic snapshots or have some other method of recovering state. Snapshots are far from ideal as you will likely lose data, as with any non-graceful shutdown. This is not optimal, so Apache Mesophere's Isabel Jimenez and Kapil Arya presented some new ideas at LinuxCon North America.

  • Don’t Count OpenStack Out of Public Clouds Yet, Report Says

    A common rap against OpenStack is that the platform hasn’t caught on with public clouds. But that’s too U.S.-centric of a viewpoint, according to findings published by Forrester Research this week.

    OpenStack is generally associated with private clouds. When it comes to public clouds, the platform hasn’t had a great year, PR-wise. VMware scaled back its infrastructure-as-a-service (IaaS) ambitions. Hewlett Packard Enterprise (HPE) sold its OpenStack assets to Linux provider SUSE. And Cisco recently announced the end of its Intercloud platform.

  • ‘OpenStack is not going to be an Amazon killer’: Open-source cloud tech faces U.S. market realities

    Some companies are even abandoning the public cloud in favor of private, OpenStack-based clouds, Bryce said. “We’ve seen a wave this year of companies that went very heavily into the public cloud and then started to bring pieces of their workload back in-house with an OpenStack private cloud because it was dramatically cheaper for steady-state workloads.”

Networking and Servers

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  • 3 highly effective strategies for managing test data

    Over the last year, I’ve researched, written, and spoken coast-to-coast on strategies for managing test data, and the common patterns you can use to resolve these issues. The set of solutions surrounding test data are what I call "data strategies for testing." Here are three patterns for managing your own test data more effectively. If after reading you want to dig in more deeply, drop in on my presentations on these patterns during my upcoming presentation at the upcoming Automation Guild conference.

  • Tuning OpenStack Hardware for the Enterprise

    As a cloud management framework OpenStack thus far been limited to the province of telecommunications carriers and providers of Web-scale services that have plenty of engineering talent to throw at managing one of the most ambitious open source projects there is. In contrast, adoption of OpenStack in enterprise IT environments has been much more limited.

    But that may change as more advanced networking technologies that are optimized for processor-intensive virtualization come to market. Some of the technologies we have covered here include single root input/output virtualization (SR-IOV) and Data Plane Development Kit (DPDK). Another technology includes using field programmable gate arrays (FPGA) in Network Interface Cards, to make them smarter about how to offload virtualized loads.

  • Q&A: Hortonworks CTO unfolds the big data road map

    Hortonworks has built its business on big data and Hadoop, but the Hortonworks Data Platform provides analytics and features support for a range of technologies beyond Hadoop, including MapReduce, Pig, Hive, and Spark. Hortonworks DataFlow, meanwhile, offers streaming analytics and uses technologies like Apache Nifi and Kafka.

    InfoWorld Executive Editor Doug Dineley and Editor at Large Paul Krill recently spoke with Hortonworks CTO Scott Gnau about how the company sees the data business shaking out, the Spark vs. Hadoop face-off, and Hortonworks' release strategy and efforts to build out the DataFlow platform for data in motion.


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Server Administration

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  • Diversity Scholarship Series: My Programming Journey – Becoming a Kubernetes Maintainer

    On December 14, 2015, I got my first Pull Request merged. What a great feeling! I admit it was really small (a removal of 6 chars from a Makefile), but it was a big step personally to realize that the Kubernetes maintainers wanted my contributions. From January-March, I focused on getting the Kubernetes source code to cross-compile ARM binaries and release them automatically. Kubernetes v1.2.0 was the first release that shipped with “official” Google-built ARM binaries.

  • Docker Move Brings Universal Container Operations A Step Closer

    Docker has contributed a component of Docker Engine, Containerd, to the community; it will provide a key element of a universal runtime.

    Getting to a standard, shared runtime environment in which containers from different suppliers run predictably took a step closer to reality this week as Docker opened up a key feature of its Docker Engine, containerd.

  • Why Native Docker Orchestration is the Best Orchestration

    Why is this going to be an interesting talk and why should you care? asks Mike Goelzer of Docker in his LinuxCon North America presentation. The answer is that simple, robust, integrated container orchestration is key to successful containers management, and Goelzer believes that the native Docker orchestration, called Swarm, is the best orchestration. Goelzer gives a high-level overview of Swarm, and his colleague Victor Vieux goes into detail on the internals.

  • From 1 to N Docker Hosts: Getting Started with Docker Clustering

Cloud Foundry Foundation Gets Google

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Docker Releases More FOSS

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  • Docker Open Sources Key Infrastructure Component

    Docker has been steadily open sourcing some of its architectural components. In its lates move, the company is open sourcing containerd, an important infrastructure component in its container platform.

    As The Register noted: The "d" stands for "daemon" – containerd is a daemon, or automated process, to control runC, the standard container runtime released by Docker last year, and since reclassified as something less than a runtime following community input. Containerd handles transferring container images, container execution, and low-level storage and network interfaces across Linux and Windows.

  • Docker Opens Up with Containerd Container Runtime

    After months of conversation and debate, Docker is making a dramatic move by extracting the core container runtime from the Docker Engine and spinning it off into a separate independent project.
    Solomon Hykes, the founder of Docker and the pioneer of the modern application container revolution, really wants to make sure that the Docker community and the container revolution will continue to grow in 2017 and beyond. To that end, Docker Inc announced on Dec. 14, the newly re-focused containerd (Con-tay-ner-D) initiative that will see the core container runtime from the Docker Engine spun-out into its own separate community project, with open, vendor-neutral governance.

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