2021년 2월 17일 (수) 08:18에 Pythagoras0님의 편집

2021-02-17T08:18:17Z

Pythagoras0: /* 메타데이터 */ 새 문단

2020-12-26T12:23:06Z

메타데이터: 새 문단

Pythagoras0: /* 노트 */ 새 문단

2020-12-21T09:06:15Z

노트: 새 문단

새 문서

== 노트 ==

===위키데이터===
* ID : [https://www.wikidata.org/wiki/Q15206305 Q15206305]
===말뭉치===
# Isolation A Docker container that contains one of your applications also includes the relevant versions of any supporting software that your application requires.<ref name="ref_aa034737">[https://www.microfocus.com/documentation/enterprise-developer/ed40pu5/ETS-help/GUID-F5BDACC7-6F0E-4EBB-9F62-E0046D8CCF1B.html Benefits of Using Docker]</ref>
# In simpler words, Docker is a tool that allows developers, sys-admins etc.<ref name="ref_bbe6e67d">[https://docker-curriculum.com/ A Docker Tutorial for Beginners]</ref>
# 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.<ref name="ref_bbe6e67d" />
# Due to these benefits, containers (& Docker) have seen widespread adoption.<ref name="ref_bbe6e67d" />
# This tutorial aims to be the one-stop shop for getting your hands dirty with Docker.<ref name="ref_bbe6e67d" />
# This setup makes use of encapsulation, scalability, distribution, availability and other Docker advantages.<ref name="ref_b7d342d8">[https://www.dxc.technology/application_services/insights/146173-how_to_get_the_most_out_of_docker_technology How to get the most out of Docker technology]</ref>
# 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.<ref name="ref_b7d342d8" />
# 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.<ref name="ref_b7d342d8" />
# 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.<ref name="ref_b7d342d8" />
# Docker enables developers to deploy applications inside containers for testing code in an environment identical to production.<ref name="ref_540c1563">[https://www.jetbrains.com/help/idea/docker.html Docker—IntelliJ IDEA]</ref>
# IntelliJ IDEA provides Docker support using the Docker plugin.<ref name="ref_540c1563" />
# The configured Docker connection should appear in the Services tool window (View | Tool Windows | Services or Alt+8 ).<ref name="ref_540c1563" />
# The Path mappings table is used to map local folders to corresponding directories in the Docker virtual machine's file system.<ref name="ref_540c1563" />
# 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.<ref name="ref_cb7e0128">[https://www.sumologic.com/glossary/docker-swarm/ What is Docker Swarm?]</ref>
# 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.<ref name="ref_cb7e0128" />
# What is Docker Swarm used for?<ref name="ref_cb7e0128" />
# Docker swarm is a container orchestration tool, meaning that it allows the user to manage multiple containers deployed across multiple host machines.<ref name="ref_cb7e0128" />
# 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.<ref name="ref_9a48f1e4">[https://cloud.google.com/container-registry Container Registry]</ref>
# Existing CI/CD integrations let you set up fully automated Docker pipelines to get fast feedback.<ref name="ref_9a48f1e4" />
# Heard of Docker, but still having trouble understanding it?<ref name="ref_96c39c12">[https://www.ctl.io/developers/blog/post/what-is-docker-and-when-to-use-it/ What is Docker and When to Use It]</ref>
# Before we talk about what Docker is, I will talk about what it isn't.<ref name="ref_96c39c12" />
# The Amazon AMI Marketplace is the closest thing to the Docker Index that you will find.<ref name="ref_96c39c12" />
# These collaboration features ( docker push and docker pull ) are one of the most disruptive parts of Docker.<ref name="ref_96c39c12" />
# The file system of a Docker image is layered, with copy-on-write semantics.<ref name="ref_e69ef799">[https://www.oracle.com/cloud-native/container-registry/what-is-docker/ What is Docker—Container Registry]</ref>
# Docker Registry is a standard way to store and distribute Docker images.<ref name="ref_e69ef799" />
# Docker Registry also helps improve access control and security of the Docker images stored in its repository.<ref name="ref_e69ef799" />
# Docker Hub is a hosted Docker registry managed by Docker.<ref name="ref_e69ef799" />
# Run in any Docker image CircleCI natively supports running any job in any Docker image.<ref name="ref_16269302">[https://circleci.com/docker/ Docker]</ref>
# Use the full power of the Docker CLI in your jobs to build your images in a clean VM, then push to any registry.<ref name="ref_16269302" />
# 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.<ref name="ref_16269302" />
# Docker is a lightweight virtualization mechanism to run single applications or processes in a containerized environment on a Linux host system.<ref name="ref_74583dc5">[https://neo4j.com/developer/docker/ Neo4j with Docker]</ref>
# 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.<ref name="ref_74583dc5" />
# You can run as many Docker instances on your host as your resources allow because each container is isolated from any others.<ref name="ref_74583dc5" />
# An image is a read-only template with instructions for creating a Docker container.<ref name="ref_181c73e9">[https://www.sitecore.com/knowledge-center/getting-started/docker-a-quick-overview Docker - A Quick Overview]</ref>
# You can read a good overview of Docker, its use cases and the application architecture on Docker Docs.<ref name="ref_181c73e9" />
# 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.<ref name="ref_6bd95c4b">[https://www.trendmicro.com/en_hk/what-is/container-security/docker.html What Is Docker Container Security?]</ref>
# 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.<ref name="ref_012e9eec">[https://druid.apache.org/docs/latest/tutorials/docker.html Docker · Apache Druid]</ref>
# Run docker-compose up to launch the cluster with a shell attached, or docker-compose up -d to run the cluster in the background.<ref name="ref_012e9eec" />
# If you experience any processes crashing with a 137 error code you likely don't have enough memory allocated to Docker.<ref name="ref_012e9eec" />
# Docker provides a set of tools to efficiently package and distribute executable machine images, which can then be launched as lightweight containers.<ref name="ref_86cafca7">[https://www.thoughtworks.com/radar/platforms/docker Technology Radar]</ref>
# 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.<ref name="ref_86cafca7" />
# 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.<ref name="ref_bad249d5">[https://docs.microsoft.com/en-us/dotnet/architecture/microservices/container-docker-introduction/docker-defined What is Docker?]</ref>
# Docker containers can run anywhere, on-premises in the customer datacenter, in an external service provider or in the cloud, on Azure.<ref name="ref_bad249d5" />
# Docker image containers can run natively on Linux and Windows.<ref name="ref_bad249d5" />
# On the development computer, the developer runs a Docker host where Docker images are deployed, including the app and its dependencies.<ref name="ref_bad249d5" />
# Docker is an open source platform for building, deploying, and managing containerized applications.<ref name="ref_6ebf545a">[https://www.ibm.com/cloud/learn/docker What is Docker?]</ref>
# While developers can create containers without Docker, Docker makes it easier, simpler, and safer to build, deploy, and manage containers.<ref name="ref_6ebf545a" />
# While LXC containers often reference machine-specific configurations, Docker containers run without modification across any desktop, data center, and cloud environment.<ref name="ref_6ebf545a" />
# With Docker containers, only one process can run in each container.<ref name="ref_6ebf545a" />
# To run gitlab-runner inside a Docker container, you need to make sure that the configuration is not lost when the container is restarted.<ref name="ref_4fa657f8">[https://docs.gitlab.com/runner/install/docker.html Run GitLab Runner in a container]</ref>
# note If you are using a 8093 by adding -p 8093:8093 to your docker run command.<ref name="ref_4fa657f8" />
# 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.<ref name="ref_4fa657f8" />
# With GitLab Runner started as a Docker based service, since the gitlab-runner ...<ref name="ref_4fa657f8" />
# These below instructions are for an installation of Home Assistant Core running in your own Docker environment, which you manage yourself.<ref name="ref_fa870fbd">[https://www.home-assistant.io/docs/installation/docker/ Installation on Docker]</ref>
# When using docker-ce (or boot2docker ) on macOS, you are unable to map the local timezone to your Docker container (Docker issue).<ref name="ref_fa870fbd" />
# Alternatively, docker-compose works with any recent release of Docker CE on macOS.<ref name="ref_fa870fbd" />
# Docker containers are completely isolated from its Windows host system.<ref name="ref_fa870fbd" />
# devel This command will run the docker container bioconductor/bioconductor_docker:devel on your local machine.<ref name="ref_a9b7770f">[https://www.bioconductor.org/help/docker/ Docker for Bioconductor]</ref>
# 8787 is the port being mapped between the docker container and your host machine.<ref name="ref_a9b7770f" />
# For previous users of docker containers for Bioconductor, please note that we are deprecating the following images.<ref name="ref_a9b7770f" />
# 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.<ref name="ref_a9b7770f" />
# The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers.<ref name="ref_89f72c0f">[https://github.com/NVIDIA/nvidia-docker NVIDIA/nvidia-docker: Build and run Docker containers leveraging NVIDIA GPUs]</ref>
# You can install and run Grafana using the official Docker image.<ref name="ref_9367164d">[https://grafana.com/docs/grafana/latest/installation/docker/ Run Grafana Docker image]</ref>
# Pass the plugins you want installed to Docker with the GF_INSTALL_PLUGINS environment variable as a comma-separated list.<ref name="ref_9367164d" />
# In the Grafana GitHub repository there is a folder called packaging/docker/custom/ , which includes two Dockerfiles, Dockerfile and ubuntu.<ref name="ref_9367164d" />
# The Grafana Image Renderer plugin does not currently work if it is installed in a Grafana Docker image.<ref name="ref_9367164d" />
# /docker.gpg add - ## Add Docker apt repository.<ref name="ref_91ba32dc">[https://kubernetes.io/docs/setup/production-environment/container-runtimes/ Container runtimes]</ref>
# This page provides an overview of the Docker extension capabilities; use the side menu to learn more about topics of interest.<ref name="ref_b876c246">[https://code.visualstudio.com/docs/containers/overview Container tools extension for Visual Studio Code]</ref>
# 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.<ref name="ref_b876c246" />
# The Docker extension contributes a Docker Explorer view to VS Code.<ref name="ref_b876c246" />
# The Docker Explorer lets you examine and manage Docker assets: containers, images, volumes, networks, and container registries.<ref name="ref_b876c246" />
# Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.<ref name="ref_fb46d8f8">[https://opensource.com/resources/what-docker What is Docker? | Opensource.com]</ref>
# Docker is a tool that is designed to benefit both developers and system administrators, making it a part of many DevOps (developers + operations) toolchains.<ref name="ref_fb46d8f8" />
# 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.<ref name="ref_fb46d8f8" />
# 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.<ref name="ref_fb46d8f8" />
# 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.<ref name="ref_3dd47345">[https://www.redhat.com/en/topics/containers/what-is-docker What is Docker?]</ref>
# With Docker, you can treat containers like extremely lightweight, modular virtual machines.<ref name="ref_3dd47345" />
# The Docker technology uses the Linux kernel and features of the kernel, like Cgroups and namespaces, to segregate processes so they can run independently.<ref name="ref_3dd47345" />
# Container tools, including Docker, provide an image-based deployment model.<ref name="ref_3dd47345" />
# Five years ago, Solomon Hykes helped found a business, Docker, which sought to make containers easy to use.<ref name="ref_8e5ef88a">[https://www.zdnet.com/article/what-is-docker-and-why-is-it-so-darn-popular/ What is Docker and why is it so darn popular?]</ref>
# With the release of Docker 1.0 in June 2014, the buzz became a roar.<ref name="ref_8e5ef88a" />
# All the noise is happening because companies are adopting Docker at a remarkable rate.<ref name="ref_8e5ef88a" />
# 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.<ref name="ref_8e5ef88a" />
# Docker is an open source project that makes it easy to create containers and container-based apps.<ref name="ref_d20c7142">[https://www.infoworld.com/article/3204171/what-is-docker-the-spark-for-the-container-revolution.html What is Docker? The spark for the container revolution]</ref>
# Originally built for Linux, Docker now runs on Windows and MacOS as well.<ref name="ref_d20c7142" />
# Each Docker container starts with a Dockerfile.<ref name="ref_d20c7142" />
# 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).<ref name="ref_d20c7142" />
# Pull rate limits for certain users are being introduced to Docker Hub starting November 2nd.<ref name="ref_e8722538">[https://www.docker.com/ Empowering App Development for Developers]</ref>
# Docker works by providing a standard way to run your code.<ref name="ref_dd2e981e">[https://aws.amazon.com/docker/ What is Docker?]</ref>
# AWS services such as AWS Fargate, Amazon ECS, Amazon EKS, and AWS Batch make it easy to run and manage Docker containers at scale.<ref name="ref_dd2e981e" />
# Docker can package an application and its dependencies in a virtual container that can run on any Linux, Windows, or macOS computer.<ref name="ref_ffb3c76c">[https://en.wikipedia.org/wiki/Docker_(software) Docker (software)]</ref>
# The Docker daemon, called dockerd , is a persistent process that manages Docker containers and handles container objects.<ref name="ref_ffb3c76c" />
# The daemon listens for requests sent via the Docker Engine API.<ref name="ref_ffb3c76c" />
# The Docker client program, called docker , provides a command-line interface that allows users to interact with Docker daemons.<ref name="ref_ffb3c76c" />
# Docker has a simple "Dockerfile" file format that it uses to specify the “layers” of an image.<ref name="ref_4a938a4a">[https://spring.io/guides/gs/spring-boot-docker/ Spring Boot with Docker]</ref>
# docker build -t springio/gs-spring-boot-docker .<ref name="ref_4a938a4a" />
# Instead of building with the Docker command line, you might want to use a build plugin.<ref name="ref_4a938a4a" />
# You can build the image by using the same standard container format as you get from docker build .<ref name="ref_4a938a4a" />
# Docker uses containers to create virtual environments that isolate a TensorFlow installation from the rest of the system.<ref name="ref_6dfa2635">[https://www.tensorflow.org/install/docker TensorFlow]</ref>
# Install Docker on your local host machine.<ref name="ref_6dfa2635" />
# For GPU support on Linux, install NVIDIA Docker support.<ref name="ref_6dfa2635" />
# Take note of your Docker version with docker -v .<ref name="ref_6dfa2635" />
# 9 Maps the /certs/client directory to the previously created jenkins-docker-certs volume.<ref name="ref_3ab67492">[https://www.jenkins.io/doc/book/installing/docker/ Docker]</ref>
# 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.<ref name="ref_3ab67492" />
# Docker is a framework that runs containers.<ref name="ref_fa58f34f">[https://mariadb.com/kb/en/installing-and-using-mariadb-via-docker/ Installing and Using MariaDB via Docker]</ref>
# Docker requires a very small amount of resources.<ref name="ref_fa58f34f" />
# Note that, while your package repositories could have a package called docker , it is probably not the Docker we are talking about.<ref name="ref_fa58f34f" />
# Cannot connect to the Docker daemon at unix:///var/run/docker.sock.<ref name="ref_fa58f34f" />
# 기본적으로 이미지는 docker run -d ...<ref name="ref_bf42cc77">[https://kubernetes.io/ko/docs/reference/kubectl/docker-cli-to-kubectl/ 도커 사용자를 위한 kubectl]</ref>
# A list of all published Docker images and tags is available at www.docker.elastic.co.<ref name="ref_e95ecaf2">[https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html Install Elasticsearch with Docker]</ref>
# Pulling the imageedit Obtaining Elasticsearch for Docker is as simple as issuing a docker pull command against the Elastic Docker registry.<ref name="ref_e95ecaf2" />
# Alternatively, you can download other Docker images that contain only features available under the Apache 2.0 license.<ref name="ref_e95ecaf2" />
# This sample Docker Compose file brings up a three-node Elasticsearch cluster.<ref name="ref_e95ecaf2" />
# The GitLab Docker images are monolithic images of GitLab running all the necessary services in a single container.<ref name="ref_8cc058fe">[https://docs.gitlab.com/omnibus/docker/ GitLab Docker images]</ref>
# The Docker images don’t include a mail transport agent (MTA).<ref name="ref_8cc058fe" />
# Docker for Windows is not officially supported.<ref name="ref_8cc058fe" />
# If you are trying to run on Docker for Windows, see the Docker for Windows is not officially supported.<ref name="ref_8cc058fe" />
===소스===
<references />

@@ 124번째 줄: / 124번째 줄: @@
   <references />
-== 메타데이터 ==
+==메타데이터==
 ===위키데이터===
 * ID :  [https://www.wikidata.org/wiki/Q15206305 Q15206305]

← 이전 판		2020년 12월 26일 (토) 12:23 판
123번째 줄:		123번째 줄:
	===소스===		===소스===
	<references />		<references />
		+
		+	== 메타데이터 ==
		+
		+	===위키데이터===
		+	* ID : [https://www.wikidata.org/wiki/Q15206305 Q15206305]

도커 - 편집 역사

2021년 2월 17일 (수) 08:18에 Pythagoras0님의 편집

Pythagoras0: /* 메타데이터 */ 새 문단

Pythagoras0: /* 노트 */ 새 문단