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== 메타데이터 ==
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* ID :  [https://www.wikidata.org/wiki/Q15206305 Q15206305]

2020년 12월 26일 (토) 05:23 판

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말뭉치

  1. Isolation A Docker container that contains one of your applications also includes the relevant versions of any supporting software that your application requires.[1]
  2. In simpler words, Docker is a tool that allows developers, sys-admins etc.[2]
  3. The key benefit of Docker is that it allows users to package an application with all of its dependencies into a standardized unit for software development.[2]
  4. Due to these benefits, containers (& Docker) have seen widespread adoption.[2]
  5. This tutorial aims to be the one-stop shop for getting your hands dirty with Docker.[2]
  6. This setup makes use of encapsulation, scalability, distribution, availability and other Docker advantages.[3]
  7. If a traditional application with a standard GUI is placed into Docker, it needs to be rewritten by partitioning it down into microservices and changing the GUI to a web interface.[3]
  8. As for compatibility with servers and operating systems, Docker uses the kernel of the underlying OS running on a server, whether it is Linux, Windows or other supported platforms.[3]
  9. It will not, however, run on a “native” Docker installation on a Windows server unless the server is a Hyper-V virtual machine, which has a Linux kernel.[3]
  10. Docker enables developers to deploy applications inside containers for testing code in an environment identical to production.[4]
  11. IntelliJ IDEA provides Docker support using the Docker plugin.[4]
  12. The configured Docker connection should appear in the Services tool window (View | Tool Windows | Services or Alt+8 ).[4]
  13. The Path mappings table is used to map local folders to corresponding directories in the Docker virtual machine's file system.[4]
  14. A Docker Swarm is a group of either physical or virtual machines that are running the Docker application and that have been configured to join together in a cluster.[5]
  15. Once a group of machines have been clustered together, you can still run the Docker commands that you're used to, but they will now be carried out by the machines in your cluster.[5]
  16. What is Docker Swarm used for?[5]
  17. Docker swarm is a container orchestration tool, meaning that it allows the user to manage multiple containers deployed across multiple host machines.[5]
  18. Container Registry is a single place for your team to manage Docker images, perform vulnerability analysis, and decide who can access what with fine-grained access control.[6]
  19. Existing CI/CD integrations let you set up fully automated Docker pipelines to get fast feedback.[6]
  20. Heard of Docker, but still having trouble understanding it?[7]
  21. Before we talk about what Docker is, I will talk about what it isn't.[7]
  22. The Amazon AMI Marketplace is the closest thing to the Docker Index that you will find.[7]
  23. These collaboration features ( docker push and docker pull ) are one of the most disruptive parts of Docker.[7]
  24. The file system of a Docker image is layered, with copy-on-write semantics.[8]
  25. Docker Registry is a standard way to store and distribute Docker images.[8]
  26. Docker Registry also helps improve access control and security of the Docker images stored in its repository.[8]
  27. Docker Hub is a hosted Docker registry managed by Docker.[8]
  28. Run in any Docker image CircleCI natively supports running any job in any Docker image.[9]
  29. Use the full power of the Docker CLI in your jobs to build your images in a clean VM, then push to any registry.[9]
  30. CircleCI also makes it easy to deploy applications to AWS Elastic Beanstalk, Google Container Engine, CoreOS, Docker Swarm or any other host that can run Docker containers.[9]
  31. Docker is a lightweight virtualization mechanism to run single applications or processes in a containerized environment on a Linux host system.[10]
  32. To build a Docker image, you create a specification file ( Dockerfile ) to define the minimum-required, dependent layers for the application or service to run.[10]
  33. You can run as many Docker instances on your host as your resources allow because each container is isolated from any others.[10]
  34. An image is a read-only template with instructions for creating a Docker container.[11]
  35. You can read a good overview of Docker, its use cases and the application architecture on Docker Docs.[11]
  36. When it comes to the security of your Docker containers, this is very crucial and why Docker default settings are not set to run containers as root.[12]
  37. In this quickstart, we will download the Apache Druid image from Docker Hub and set it up on a single machine using Docker and Docker Compose.[13]
  38. Run docker-compose up to launch the cluster with a shell attached, or docker-compose up -d to run the cluster in the background.[13]
  39. If you experience any processes crashing with a 137 error code you likely don't have enough memory allocated to Docker.[13]
  40. Docker provides a set of tools to efficiently package and distribute executable machine images, which can then be launched as lightweight containers.[14]
  41. Notable is CoreOS which is an operating system based on ChromeOS built for deploying Docker containers across a cluster with tools for deployment, service discovery and configuration.[14]
  42. Docker is an open-source project for automating the deployment of applications as portable, self-sufficient containers that can run on the cloud or on-premises.[15]
  43. Docker containers can run anywhere, on-premises in the customer datacenter, in an external service provider or in the cloud, on Azure.[15]
  44. Docker image containers can run natively on Linux and Windows.[15]
  45. On the development computer, the developer runs a Docker host where Docker images are deployed, including the app and its dependencies.[15]
  46. Docker is an open source platform for building, deploying, and managing containerized applications.[16]
  47. While developers can create containers without Docker, Docker makes it easier, simpler, and safer to build, deploy, and manage containers.[16]
  48. While LXC containers often reference machine-specific configurations, Docker containers run without modification across any desktop, data center, and cloud environment.[16]
  49. With Docker containers, only one process can run in each container.[16]
  50. To run gitlab-runner inside a Docker container, you need to make sure that the configuration is not lost when the container is restarted.[17]
  51. note If you are using a 8093 by adding -p 8093:8093 to your docker run command.[17]
  52. When GitLab Runner is started as a foreground task (whether it’s a locally installed binary or inside of a Docker Container), the logs are printed to the standard output.[17]
  53. With GitLab Runner started as a Docker based service, since the gitlab-runner ...[17]
  54. These below instructions are for an installation of Home Assistant Core running in your own Docker environment, which you manage yourself.[18]
  55. When using docker-ce (or boot2docker ) on macOS, you are unable to map the local timezone to your Docker container (Docker issue).[18]
  56. Alternatively, docker-compose works with any recent release of Docker CE on macOS.[18]
  57. Docker containers are completely isolated from its Windows host system.[18]
  58. devel This command will run the docker container bioconductor/bioconductor_docker:devel on your local machine.[19]
  59. 8787 is the port being mapped between the docker container and your host machine.[19]
  60. For previous users of docker containers for Bioconductor, please note that we are deprecating the following images.[19]
  61. The new Bioconductor Docker image bioconductor/bioconductor_docker makes it possible to easily install any package the user chooses since all the system dependencies are built in to this new image.[19]
  62. The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers.[20]
  63. You can install and run Grafana using the official Docker image.[21]
  64. Pass the plugins you want installed to Docker with the GF_INSTALL_PLUGINS environment variable as a comma-separated list.[21]
  65. In the Grafana GitHub repository there is a folder called packaging/docker/custom/ , which includes two Dockerfiles, Dockerfile and ubuntu.[21]
  66. The Grafana Image Renderer plugin does not currently work if it is installed in a Grafana Docker image.[21]
  67. /docker.gpg add - ## Add Docker apt repository.[22]
  68. This page provides an overview of the Docker extension capabilities; use the side menu to learn more about topics of interest.[23]
  69. You can add Docker files to your workspace by opening the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) and using Docker: Add Docker Files to Workspace command.[23]
  70. The Docker extension contributes a Docker Explorer view to VS Code.[23]
  71. The Docker Explorer lets you examine and manage Docker assets: containers, images, volumes, networks, and container registries.[23]
  72. Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.[24]
  73. Docker is a tool that is designed to benefit both developers and system administrators, making it a part of many DevOps (developers + operations) toolchains.[24]
  74. It also allows them to get a head start by using one of thousands of programs already designed to run in a Docker container as a part of their application.[24]
  75. Docker provides a web-based tutorial with a command-line simulator that you can try out basic Docker commands with and begin to understand how it works.[24]
  76. The company, Docker Inc., builds on the work of the Docker community, makes it more secure, and shares those advancements back to the greater community.[25]
  77. With Docker, you can treat containers like extremely lightweight, modular virtual machines.[25]
  78. The Docker technology uses the Linux kernel and features of the kernel, like Cgroups and namespaces, to segregate processes so they can run independently.[25]
  79. Container tools, including Docker, provide an image-based deployment model.[25]
  80. Five years ago, Solomon Hykes helped found a business, Docker, which sought to make containers easy to use.[26]
  81. With the release of Docker 1.0 in June 2014, the buzz became a roar.[26]
  82. All the noise is happening because companies are adopting Docker at a remarkable rate.[26]
  83. Indeed, James Turnbull, then Docker's VP of services and support, told me at the conference that three of its largest beta bank customers were moving it into production.[26]
  84. Docker is an open source project that makes it easy to create containers and container-based apps.[27]
  85. Originally built for Linux, Docker now runs on Windows and MacOS as well.[27]
  86. Each Docker container starts with a Dockerfile.[27]
  87. A Dockerfile is a text file written in an easy-to-understand syntax that includes the instructions to build a Docker image (more on that in a moment).[27]
  88. Pull rate limits for certain users are being introduced to Docker Hub starting November 2nd.[28]
  89. Docker works by providing a standard way to run your code.[29]
  90. AWS services such as AWS Fargate, Amazon ECS, Amazon EKS, and AWS Batch make it easy to run and manage Docker containers at scale.[29]
  91. Docker can package an application and its dependencies in a virtual container that can run on any Linux, Windows, or macOS computer.[30]
  92. The Docker daemon, called dockerd , is a persistent process that manages Docker containers and handles container objects.[30]
  93. The daemon listens for requests sent via the Docker Engine API.[30]
  94. The Docker client program, called docker , provides a command-line interface that allows users to interact with Docker daemons.[30]
  95. Docker has a simple "Dockerfile" file format that it uses to specify the “layers” of an image.[31]
  96. docker build -t springio/gs-spring-boot-docker .[31]
  97. Instead of building with the Docker command line, you might want to use a build plugin.[31]
  98. You can build the image by using the same standard container format as you get from docker build .[31]
  99. Docker uses containers to create virtual environments that isolate a TensorFlow installation from the rest of the system.[32]
  100. Install Docker on your local host machine.[32]
  101. For GPU support on Linux, install NVIDIA Docker support.[32]
  102. Take note of your Docker version with docker -v .[32]
  103. 9 Maps the /certs/client directory to the previously created jenkins-docker-certs volume.[33]
  104. This makes the client TLS certificates needed to connect to the Docker daemon available in the path specified by the DOCKER_CERT_PATH environment variable.[33]
  105. Docker is a framework that runs containers.[34]
  106. Docker requires a very small amount of resources.[34]
  107. Note that, while your package repositories could have a package called docker , it is probably not the Docker we are talking about.[34]
  108. Cannot connect to the Docker daemon at unix:///var/run/docker.sock.[34]
  109. 기본적으로 이미지는 docker run -d ...[35]
  110. A list of all published Docker images and tags is available at www.docker.elastic.co.[36]
  111. Pulling the imageedit Obtaining Elasticsearch for Docker is as simple as issuing a docker pull command against the Elastic Docker registry.[36]
  112. Alternatively, you can download other Docker images that contain only features available under the Apache 2.0 license.[36]
  113. This sample Docker Compose file brings up a three-node Elasticsearch cluster.[36]
  114. The GitLab Docker images are monolithic images of GitLab running all the necessary services in a single container.[37]
  115. The Docker images don’t include a mail transport agent (MTA).[37]
  116. Docker for Windows is not officially supported.[37]
  117. If you are trying to run on Docker for Windows, see the Docker for Windows is not officially supported.[37]

소스

  1. ↑ Benefits of Using Docker
  2. ↑ 2.0 2.1 2.2 2.3 A Docker Tutorial for Beginners
  3. ↑ 3.0 3.1 3.2 3.3 How to get the most out of Docker technology
  4. ↑ 4.0 4.1 4.2 4.3 Docker—IntelliJ IDEA
  5. ↑ 5.0 5.1 5.2 5.3 What is Docker Swarm?
  6. ↑ 6.0 6.1 Container Registry
  7. ↑ 7.0 7.1 7.2 7.3 What is Docker and When to Use It
  8. ↑ 8.0 8.1 8.2 8.3 What is Docker—Container Registry
  9. ↑ 9.0 9.1 9.2 Docker
  10. ↑ 10.0 10.1 10.2 Neo4j with Docker
  11. ↑ 11.0 11.1 Docker - A Quick Overview
  12. ↑ What Is Docker Container Security?
  13. ↑ 13.0 13.1 13.2 Docker · Apache Druid
  14. ↑ 14.0 14.1 Technology Radar
  15. ↑ 15.0 15.1 15.2 15.3 What is Docker?
  16. ↑ 16.0 16.1 16.2 16.3 What is Docker?
  17. ↑ 17.0 17.1 17.2 17.3 Run GitLab Runner in a container
  18. ↑ 18.0 18.1 18.2 18.3 Installation on Docker
  19. ↑ 19.0 19.1 19.2 19.3 Docker for Bioconductor
  20. ↑ NVIDIA/nvidia-docker: Build and run Docker containers leveraging NVIDIA GPUs
  21. ↑ 21.0 21.1 21.2 21.3 Run Grafana Docker image
  22. ↑ Container runtimes
  23. ↑ 23.0 23.1 23.2 23.3 Container tools extension for Visual Studio Code
  24. ↑ 24.0 24.1 24.2 24.3 What is Docker? | Opensource.com
  25. ↑ 25.0 25.1 25.2 25.3 What is Docker?
  26. ↑ 26.0 26.1 26.2 26.3 What is Docker and why is it so darn popular?
  27. ↑ 27.0 27.1 27.2 27.3 What is Docker? The spark for the container revolution
  28. ↑ Empowering App Development for Developers
  29. ↑ 29.0 29.1 What is Docker?
  30. ↑ 30.0 30.1 30.2 30.3 Docker (software)
  31. ↑ 31.0 31.1 31.2 31.3 Spring Boot with Docker
  32. ↑ 32.0 32.1 32.2 32.3 TensorFlow
  33. ↑ 33.0 33.1 Docker
  34. ↑ 34.0 34.1 34.2 34.3 Installing and Using MariaDB via Docker
  35. ↑ 도커 사용자를 위한 kubectl
  36. ↑ 36.0 36.1 36.2 36.3 Install Elasticsearch with Docker
  37. ↑ 37.0 37.1 37.2 37.3 GitLab Docker images

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