Docker includes three basic concepts:
Image: Docker image (Image) is equivalent to a root file system. For example, the official image ubuntu:16.04 contains a complete set of the root file system of the Ubuntu16.04 minimal system.
Container (Container): The relationship between image (Image) and container (Container) is just like the classes and instances in object-oriented programming. The image is a static definition, and the container Is the entity when the image is running. Containers can be created, started, stopped, deleted, paused, etc.
Warehouse (Repository): The warehouse can be regarded as a code control center, used to save images.
Docker uses a client-server (C/S) architecture model and uses remote APIs to manage and create Docker containers.
Docker containers are created through Docker images.
The relationship between containers and images is similar to objects and classes in object-oriented programming.
docker | Object-oriented |
Container | Object |
Mirror | Class |
Description | |
Docker image (Images) | Docker image is a template for creating Docker containers, such as Ubuntu system. |
Docker Container(Container) | A container is an application or a group of applications that runs independently and is a mirror runtime entity. |
Docker Client (Client) | Docker client uses the Docker SDK (https ://docs.docker.com/develop/sdk/) communicates with the Docker daemon. |
Docker Host (Host) | A physical or virtual machine used to execute the Docker daemon and containers. |
Docker Registry | Docker warehouse is used to save images and can be understood as a code warehouse in code control. Docker Hub (https://hub.docker.com) provides a huge collection of images for use. A Docker Registry can contain multiple repositories (Repositories); each repository can contain multiple tags (Tag); each tag corresponds to an image. Usually, a warehouse will contain images of different versions of the same software, and tags are often used to correspond to each version of the software. We can specify which version of this software is the image through the format of |
Docker Machine | Docker Machine is a command line tool that simplifies Docker installation through a simple command line You can install Docker on the corresponding platform, such as VirtualBox, Digital Ocean, and Microsoft Azure. |
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The methods of installing and using Docker on Ubuntu, CentOS, and Debian are different. 1) Ubuntu: Use the apt package manager, the command is sudoapt-getupdate&&sudoapt-getinstalldocker.io. 2) CentOS: Use the yum package manager and you need to add the Docker repository. The command is sudoyumininstall-yyum-utils&&sudoyum-config-manager--add-repohttps://download.docker.com/lin

Using Docker on Linux can improve development efficiency and simplify application deployment. 1) Pull Ubuntu image: dockerpullubuntu. 2) Run Ubuntu container: dockerrun-itubuntu/bin/bash. 3) Create Dockerfile containing nginx: FROMubuntu;RUNapt-getupdate&&apt-getinstall-ynginx;EXPOSE80. 4) Build the image: dockerbuild-tmy-nginx. 5) Run container: dockerrun-d-p8080:80

Docker simplifies application deployment and management on Linux. 1) Docker is a containerized platform that packages applications and their dependencies into lightweight and portable containers. 2) On Linux, Docker uses cgroups and namespaces to implement container isolation and resource management. 3) Basic usages include pulling images and running containers. Advanced usages such as DockerCompose can define multi-container applications. 4) Debug commonly used dockerlogs and dockerexec commands. 5) Performance optimization can reduce the image size through multi-stage construction, and keeping the Dockerfile simple is the best practice.

Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.

Docker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".

The methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com

You can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).

Create a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]


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