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Que vous soyez sous Linux ou Windows, il est parfaitement possible de faire tourner macOS grâce à Docker. Comment ? Et bien grâce à ce projet de la boite de sécu Sick Codes qui vous fournit tout... Les images Docker pour Monterey, Big Sur, Catalina...etc ainsi que les lignes de commande qui vont bien pour… 
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Bonjour, Depuis quelques années maintenant, nous avons vu arriver dans le milieu de l’informatique, le phénomène de “containerisation” ! C’est quoi au juste ! Et qu’est ce qui change par rapport à la virtualisation ? On va dire que c’est un peu, comparativement, des concepts d’architecture qui se différencient comme peuvent l’être le Paas et le Iaas. Toute la question est qu’est ce qui est inclut dans chaque couche ! Principes Une VM englobe un OS, ses librairies (DLL windows, rpm/pkg linux), avec son schéma d’architecture stockage et les applications installées et embarquées.
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How to install PostgreSQL using Docker, along with some basic Docker management operations as well as some examples.
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From
dev
Serie of sketchnotes about Docker. Explaining in a visual way Docker principles. Tagged with docker, devops, beginners, cloud.
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In the modern era, software is commonly delivered as a service: called web apps, or software-as-a-service. The twelve-factor app is a methodology for building software-as-a-service apps that:
Mickael Ruau's insight:
Who should read this document?
Any developer building applications which run as a service. Ops engineers who deploy or manage such applications. The Twelve FactorsI. CodebaseOne codebase tracked in revision control, many deploysII. DependenciesExplicitly declare and isolate dependenciesIII. ConfigStore config in the environmentIV. Backing servicesTreat backing services as attached resourcesV. Build, release, runStrictly separate build and run stagesVI. ProcessesExecute the app as one or more stateless processesVII. Port bindingExport services via port bindingVIII. ConcurrencyScale out via the process modelIX. DisposabilityMaximize robustness with fast startup and graceful shutdownX. Dev/prod parityKeep development, staging, and production as similar as possibleXI. LogsTreat logs as event streamsXII. Admin processesRun admin/management tasks as one-off processes
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Inutile de se demander s’il vaut mieux choisir Kubernetes ou Docker, car cette question n’a pas lieu d’être. Les deux programmes sont utilisés conjointement. Dans le cas de Kubernetes, la composition et l’exécution du conteneur sont également assurées par Docker (ou une autre plateforme de conteneurs comme rkt). Kubernetes accède à ces conteneurs et assure la gestion ou l’automatisation des processus. Kubernetes n’est pas en mesure d’assurer seul la création des conteneurs.
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From
dzone
This Refcard will lay out the basics of the container security challenge, give you hands-on experience with basic security options, and also spell out some more advanced workflows. We split container security into three sections covering what to do at each step of your container security lifecycle.
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Reproducable and identical development environment for all host operating systems with zero configuration requirements. Docker LAMP development stack with valid https supportThe Devilbox is a modern and highly customisable dockerized PHP stack supporting full LAMP and MEAN and running on all major platforms. The main goal is to easily switch and combine any version required for local development.
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If you want your Docker images to be small and you still want fast builds, multi-stage images are the way to go. And yet, you might find that multi-stage builds are actually quite slow in practice, in particular when running in your build pipeline. If that’s happening, a bit of digging is likely to show that even though you copied your standard build script, somehow the first stage of the Dockerfile gets rebuilt every single time. Unless you’re very careful, Docker’s build cache often won’t work for multi-stage builds—and that means your build is slow. What’s going on? In this article you will learn: Why multi-stage builds don’t work with the standard build process you’re used to for single-stage images. How to solve the problem and get fast builds. Note: Outside the specific topic under discussion, the Dockerfiles in this article are not examples of best practices, since the added complexity would obscure the main point of the article. Want a best-practices Dockerfile and build system? Check out my Production-Ready Python Containers product.
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Dans cet article, nous allons voir comment utiliser la technologie Docker pour faciliter nos développements de prototypes frugaux.
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There are many good things about Docker. It packs, ships, and runs applications as a lightweight, portable, and self-sufficient containerization tool. Docker is great for businesses of all sizes.
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![Introduction aux machines virtuelles - [Site WWW de Laurent Bloch] | Devops for Growth | Scoop.it](https://img.scoop.it/yZV6SYqW6j3USw8Mq4CSPjl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
Cet article se veut compréhensible par les profanes. Ce qu’est un programme informatique En première approche, nous pouvons définir un programme (...)
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With the popularization of containerized applications and microservices, server automation now plays an essential role in systems administration. It is also a way to establish standard procedures for new servers and reduce human error. This guide explains how to use Ansible to automate the steps contained in our guide on How To Install and Use Docker on Ubuntu 18.04. Docker is an application that simplifies the process of managing containers, resource-isolated processes that behave in a similar way to virtual machines, but are more portable, more resource-friendly, and depend more heavily on the host operating system. While you can complete this setup manually, using a configuration management tool like Ansible to automate the process will save you time and establish standard procedures that can be repeated through tens to hundreds of nodes. Ansible offers a simple architecture that doesn’t require special software to be installed on nodes, and it provides a robust set of features and built-in modules which facilitate writing automation scripts.
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Ce document a pour objectif de présenter les bonnes pratiques de sécurité relatives au déploiement et à l’exécution de conteneur Docker. De ce fait, le Docker daemon et la gestion des images Docker sont hors périmètre de l’étude.
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Following a series of blogs about matching Docker and open source databases, in this article, we look at installing MongoDB with Docker.
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Software architecture diagrams can be a very useful communication tool, but many teams have scaled back on the creation of diagrams, and when diagrams are created, they are often confusing and unclear. The C4 model consists of a hierarchical set of software architecture diagrams for context, containers, components, and code.
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Personnellement je travaille à de la refonte d’applications Java au quotidien et un point sur lequel Go se démarque particulièrement c’est sa consommation mémoire et son packaging vers des images docker. Les binaires Go sont petits et autoporteurs (pas besoin de bibliothèque tierce pour leur exécution), les API REST créées en Go sont parfaites pour le cloud et les besoins de scalabilité. Go est aussi très performant et se prête très bien au développement de services frontaux devant accueillir un trafic utilisateur conséquent.
Mickael Ruau's insight:
J’ai fait plusieurs essais, le plus universel est Visual Studio Code avec son plugin Go, il a le mérite d’être gratuit et bien maintenu. Personnellement j’utilise la version Ultimate d’IntelliJ avec le plugin Go également. Cela me permet de garder le même outil pour tous mes développements.
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Dans ce cross-over entre Quoi d'Neuf Docker et Zenika TV, nous allons vous parler des “patterns de déploiement” Nous aborderons donc les différentes approches permettant de déployer vos applications en production, depuis les plus traditionnelles jusqu’aux plus modernes pratiquées par les géants du Web… le tout dans un format “court et ludique” � Des techniques…
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From
devopssec
Ce cours complet pour débutants sur la technologie Docker vous expliquera pas à pas les différentes notions de Docker.
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From
dzone
Docker has rapidly evolved into a production-ready infrastructure platform, promising flexible and scalable delivery of software to end users. This Refcard looks into the challenges that containers (or black boxes) present in DevOps, explores architectural models for monitoring containers, and investigates pros and cons of Docker monitoring and troubleshooting options. It also covers a complex, real-world example with Sysdig Cloud to understand what to monitor and how.
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Get an introduction to Lando; why it exists, what it's good for and how it differs from Docker Compose and other local development and DevOps tools.
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From
medium
Multi-stage Dockerfile builds can help shift information left and standardize commands in an elegant way.
Mickael Ruau's insight:
Imagine a normal pipeline for an application. It might look something like this: Each of the stages — build, lint, test (unit, integration, accessibility, and regression), static code analysis, dynamic code analysis, and finally deployment — require access to different tools, systems, and binaries. Every time a developer runs a build or pushes to GitHub they could discover new issues in the pipeline and have to iterate to resolve them. This pushes information we want the developers to have to the right in the development process, which is suboptimal. There are two improvements that can be made to that process:
Multi-stage Dockerfile builds solve both of these problems in an elegant way. Leveraging multi-stage Dockerfiles mean that a developer can run the exact same command as the CICD server, and because it’s running in a container, the same results should be returned every time. What Are Multi-Stage Builds?Multi-stage builds are a method of organizing a Dockerfile to minimize the size of the final container, improve run time performance, allow for better organization of Docker commands and files, and provide a standardized method of running build actions. A multi-stage build is done by creating different sections of a Dockerfile, each referencing a different base image. This allows a multi-stage build to fulfill a function previously filled by using multiple docker files, copying files between containers, or running different pipelines. For more specific reading on the specifications of a multi-stage Docker build please see here.
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Cette fois, nous allons apprendre à dockeriser un script, et en monitorer le fonctionnement, grâce à un squelette d'image Docker.
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At QCon SF, Yevgeniy Brikman presented "Automated Testing for Terraform, Docker, Packer, Kubernetes, and More". Key takeaways from the talk included the recommendation to use an appropriate mix of all testing techniques discussed, such as static analysis, unit tests, integration tests, and end-to-end tests.
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Find out to provision Docker containers using Ansible. Ansible Container is a Python library that lets you provision Docker containers and upload it to Docker Hub
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