Is docker a system?
Docker is essentially an add-on system, to be precise, an open platform for developing, delivering and running applications; Docker enables developers to separate applications from infrastructure so they can be delivered quickly Software; with Docker you can also manage your infrastructure in the same way you manage your applications.
The operating environment of this article: ubuntu 18.04 system, Docker version 20.10.11, Dell G3 computer.
Is docker a system?
Docker is essentially an add-on system.
Docker is an open source application container engine, based on the Go language and open source in compliance with the Apache2.0 protocol.
Docker allows developers to package their applications and dependencies into a lightweight, portable container, and then publish it to any popular Linux machine, which can also be virtualized.
Containers completely use the sandbox mechanism and do not have any interfaces with each other (similar to iPhone apps). More importantly, the container performance overhead is extremely low.
Docker is divided into CE (Community Edition: Community Edition) and EE (Enterprise Edition: Enterprise Edition) from version 17.03 onwards.
Advantages of Docker
Docker is an open platform for developing, delivering and running applications. Docker enables you to separate applications from infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure the same way you manage your applications. By leveraging Docker's approach to quickly delivering, testing, and deploying code, you can significantly reduce the delay between writing code and running it in production.
Features
The typical scenarios of docker are mentioned on the docker website:
Automating the packaging and deployment of applications (automate the packaging and deployment of applications)
Creation of lightweight, private PAAS environments (Create lightweight, private PAAS environments)
Automated testing and continuous integration/deployment
Deploying and scaling web apps, databases and backend services (deployment and expansion) webapp, database and background services)
Due to its lightweight virtualization characteristics based on LXC, the most obvious feature of docker compared to KVM and the like is that it starts quickly and takes up less resources. Therefore, it is necessary to build an isolated and standardized operating environment, lightweight PaaS (such as dokku), build automated testing and continuous integration environments, and all applications that can be horizontally expanded (especially web applications that need to start and stop quickly to cope with peaks and valleys) .
Build a standardized operating environment. Most of the existing solutions are to run a set of puppet/chef or an image file on a baseOS. The disadvantage is that the former requires many prerequisites of base OS. , the latter is almost impossible to modify (because the file format of copy on write is read only when rootfs is running). Moreover, the latter file size is large, and environment management and version control itself are also a problem.
The PaaS environment is self-evident. At the beginning of its design and in the case of dotcloud, it was used as the environmental basis for PaaS products
Because of its standardized build method (buildfile) and good REST API, automated testing and continuous integration/deployment can be well integrated
Because of the lightweight characteristics of LXC, its startup It is fast, and docker can only load the changed parts of each container, so it takes up less resources. It can be faster and take up less resources in a stand-alone environment compared with virtualization solutions such as KVM
Recommended learning: "docker video tutorial"
The above is the detailed content of Is docker a system?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Four ways to exit Docker container: Use Ctrl D in the container terminal Enter exit command in the container terminal Use docker stop <container_name> Command Use docker kill <container_name> command in the host terminal (force exit)

Methods for copying files to external hosts in Docker: Use the docker cp command: Execute docker cp [Options] <Container Path> <Host Path>. Using data volumes: Create a directory on the host, and use the -v parameter to mount the directory into the container when creating the container to achieve bidirectional file synchronization.

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).

How to restart the Docker container: get the container ID (docker ps); stop the container (docker stop <container_id>); start the container (docker start <container_id>); verify that the restart is successful (docker ps). Other methods: Docker Compose (docker-compose restart) or Docker API (see Docker documentation).

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database

The steps to update a Docker image are as follows: Pull the latest image tag New image Delete the old image for a specific tag (optional) Restart the container (if needed)

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".

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]
