Docker/docker. Docker (logiciel) Un article de Wikipédia, l'encyclopédie libre.
Docker est un logiciel libre qui automatise le déploiement d'applications dans des conteneurs logiciels. Selon la firme de recherche sur l'industrie 451 Research, « Docker est un outil qui peut empaqueter une application et ses dépendances dans un conteneur virtuel, qui pourra être exécuté sur n'importe quel serveur Linux ». Docker (software) Docker is an open-source project that automates the deployment of applications inside software containers, by providing an additional layer of abstraction and automation of operating-system-level virtualization on Linux. Docker uses the resource isolation features of the Linux kernel such as cgroups and kernel namespaces, and a union-capable filesystem such as aufs and others to allow independent "containers" to run within a single Linux instance, avoiding the overhead of starting and maintaining virtual machines. As actions are done to a Docker base image, union filesystem layers are created and documented, such that each layer fully describes how to recreate an action.
This strategy enables Docker's lightweight images, as only layer updates need to be propagated (compared to full VMs, for example). According to industry analyst firm 451 Research, "Docker is a tool that can package an application and its dependencies in a virtual container that can run on any Linux server. Docker, CoreOS, Google, Microsoft, Amazon And Others Come Together To Develop Common Container Standard.
Docker, CoreOS, Google, Microsoft and Amazon are now working on a new standard for software containers with the help of the Linux Foundation.
Other members of this coalition include Apcera, Cisco, EMC, Fujitsu Limited, Goldman Sachs, HP, Huawei, IBM, Intel, Joyent, Mesosphere, Pivotal, Rancher Labs, Red Hat and VMware — that is, virtually everybody who has a stake in building a thriving container ecosystem. Docker may have become synonymous with containers, but it’s not the only container format around and not everybody agrees that it should become the standard format. Last December, CoreOS announced that it was launching its own container runtime (rkt) and format (appc), a project that received some support from major players like Google, Red Hat and VMware. At the time, Docker and CoreOS looked like they were on a collision course, and having even more container formats wasn’t likely going to help the overall ecosystem. Docker - manage docker containers. Docker. Continuous Integration and Delivery with Docker - CircleCI. CircleCI currently offers beta support for running Docker within build containers.
Docker is an extremely flexible tool that supports many different use cases. This article attempts to address several of the most popular uses for Docker on CircleCI, but it is not an exhaustive list. Please contact us if you have questions about uses of Docker that are not covered here. Note that this article assumes some knowledge of Docker. What is Docker? What is Docker?
Docker is all about making it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. By doing so, thanks to the container, the developer can rest assured that the application will run on any other Linux machine regardless of any customized settings that machine might have that could differ from the machine used for writing and testing the code. In a way, Docker is a bit like a virtual machine. But unlike a virtual machine, rather than creating a whole virtual operating system, Docker allows applications to use the same Linux kernel as the system that they're running on and only requires applications be shipped with things not already running on the host computer. Getting Started with docker. Docker is an open-source project that makes creating and managing Linux containers really easy.
Containers are like extremely lightweight VMs – they allow code to run in isolation from other containers but safely share the machine’s resources, all without the overhead of a hypervisor. Docker containers can boot extremely fast (in milliseconds!) Which gives you unprecedented flexibility in managing load across your cluster.
For example, instead of running chef on each of your VMs, it’s faster and more reliable to have your build system create a container and launch it on the appropriate number of CoreOS hosts. Developer Solution: Docker. Below you can find the list of images we have crafted for you.
WildFly WildFly is a flexible, lightweight, managed application runtime and implementation of the Java Enterprise Edition 7 Platform specifications that helps you build amazing applications. Learn more Images Image containing the latest WildFly release. 5 nifty new tools for Docker. Blink and you might miss some of the most interesting developments around Docker these days.
Aside from progress on Docker itself, other projects are being built on top of it or empowered by it -- as well as the emergence of workflow techniques and deployment strategies Docker makes possible. Here are five recent creations that are either powered by Docker at their cores or make Docker easier to work with. Dusty A Docker-powered, MIT-licensed development environment, Dusty is an alternative to Docker Compose that makes up for Compose's rickety OS X support and handling of container specifications. It's also intended to substitute for the VM-provisioning system Vagrant; Dusty claims it can handle version-based isolation of app dependencies and easier updating of services that Vagrant can't.
Docker for PHP Developers. I've used Vagrant to manage local development servers for several years.
Vagrant is, according to its official website, a tool to "create and configure light-weight, reproducible, and portable development environments. " Basically, Vagrant helps me create and provision virtual machines with unique combinations of software and configuration customized for each of my projects. This approach accomplishes three important things: Vagrant isolates project environments to avoid software conflicts.Vagrant provides the same software versions for each team member.Vagrant builds a local environment that is identical to the production environment. However, Vagrant has one large downside—it implies hardware virtualization. Your startup disk is almost full. The logical solution is to run multiple projects on a single Vagrant virtual machine. Tutoriel Vidéo Docker Présentation de Docker. Je vous propose aujourd'hui de vous pencher sur une technologie qui gagne beaucoup en ce moment : Docker.
Docker est une application qui va vous permettre d'empaqueter des applications et ses dépendances dans un conteneur, que l'on pourra ensuite lancer sur n'importe quel serveur Linux. Conteneurs Pour comprendre l'engouement autour de docker il faut comprendre la base de cette technologie : les conteneurs. Le problème à l'heure actuelle c'est que nos applications ont besoin de plus en plus de dépendances et en plus de ça elles ont besoin de fonctionner sur un large éventail de machines. La solution actuelle pour nous simplifier la tâche est alors d'utiliser des machines virtuelles. Chaque machine virtuelle va inclure notre application, les librairies nécessaires et un système d'exploitation entier. Débuter avec Docker – IT-Wars. 10 things you should know about Docker. Docker - Build, Ship, and Run Any App, Anywhere.
Why Docker is Not Yet Succeeding Widely in Production. Docker’s momentum has been increasing by the week, and from that it’s clearly touching on real problems. However, for many production users today, the pros do not outweigh the cons. Docker has done fantastically well at making containers appeal to developers for development, testing and CI environments—however, it has yet to disrupt production. In light of DockerCon 2015’s “Docker in Production” theme I’d like to discuss publicly the challenges Docker has yet to overcome to see wide adoption for the production use case. None of the issues mentioned here are new; they all exist on GitHub in some form. Most I’ve already discussed in conference talks or with the Docker team. Image building Building container images for large applications is still a challenge. Most people do not need these features, but for large applications many of them are prerequisites for fast builds. Garbage collection Iteration speed and state of core Docker Engine has focused on stability in the 1.x releases.