Differences: 1. In terms of startup speed, Docker is on the second level, while kvm is on the minute level; 2. Compared with kvm, the performance of Docker applications is high and the system overhead is small; 3. In terms of saving status , Docker is more portable and low-cost than kvm; 4. In terms of hard disk usage, Docker is measured in MB and kvm is measured in GB.
The operating environment of this tutorial: linux5.9.8 system, docker-1.13.1 version, Dell G3 computer.
Introduction to Docker
The goal of the Docker project is to implement a lightweight operating system virtualization solution. Docker is based on technologies such as Linux Containers (LXC).
Based on LXC, Docker has further encapsulated it so that users do not need to care about container management, making the operation easier. Users operating Docker containers are as easy as operating a fast and lightweight virtual machine.
The picture below compares the differences between Docker and traditional virtualization methods. It can be seen that containers implement virtualization at the operating system level and directly reuse the operating system of the local host, while the traditional method implements virtualization at the hardware level. level implementation.
Comparison between Docker and KVM (traditional virtual machine)
As an emerging virtualization method, Docker has many advantages compared with traditional virtualization methods.
1. Docker containers can be started in seconds, which is much faster than the traditional virtual machine method. Secondly, Docker has a high utilization rate of system resources. Thousands of Docker containers can be run simultaneously on one host.
2. In addition to running the application in it, the container basically consumes no additional system resources, making the application performance very high and the system overhead as small as possible. The traditional virtual machine method requires 10 virtual machines to run 10 different applications, while Docker only needs to start 10 isolated applications.
3. Virtualization technology relies on physical CPU and memory and is at the hardware level; while docker is built on the operating system and utilizes the containerization technology of the operating system, so docker can even run on a virtual machine.
4. Virtualization systems generally refer to operating system images, which are relatively complex and are called "systems"; while docker is open source and lightweight and is called "containers". A single container is suitable for deploying a small number of applications, such as A redis, a memcached.
5. Traditional virtualization technology uses snapshots to save the state; docker is not only more portable and low-cost in saving the state, but also introduces a similar source code management mechanism to store the snapshot historical versions of the container one by one. Records, switching costs are low.
6. Traditional virtualization technology is more complex when building the system and requires a lot of manpower; while docker can build the entire container through Dockfile, and restart and build quickly. More importantly, the Dockfile can be written manually, so that application developers can guide the system environment and dependencies by publishing the Dockfile, which is very beneficial to continuous delivery.
7. Of course, KVM also has a big advantage compared to containers, which is that it can use different operating systems or kernels. So, for example, you could use Microsoft Azure and run an instance of Windows Server 2012 and an instance of SUSE Linux Enterprise Server simultaneously. As for Docker, all containers must use the same operating system and kernel.
Comparison summary
Features |
Docker container |
KVM virtual machine |
##Start | seconds Level | Minute level |
Hard disk usage | Generally MB | Generally GB |
Performance |
Close to native |
Weaker than |
System support capacity |
Single machine supports thousands of containers |
Generally dozens |
# Recommended learning: "docker video tutorial"
The above is the detailed content of What is the difference between kvm and docker. For more information, please follow other related articles on the PHP Chinese website!

Select Docker in a small project or development environment, and Kubernetes in a large project or production environment. 1.Docker is suitable for rapid iteration and testing, 2. Kubernetes provides powerful container orchestration capabilities, suitable for managing and expanding large applications.

Docker is important on Linux because Linux is its native platform that provides rich tools and community support. 1. Install Docker: Use sudoapt-getupdate and sudoapt-getinstalldocker-cedocker-ce-clicotainerd.io. 2. Create and manage containers: Use dockerrun commands, such as dockerrun-d--namemynginx-p80:80nginx. 3. Write Dockerfile: Optimize the image size and use multi-stage construction. 4. Optimization and debugging: Use dockerlogs and dockerex

Docker is a containerization tool, and Kubernetes is a container orchestration tool. 1. Docker packages applications and their dependencies into containers that can run in any Docker-enabled environment. 2. Kubernetes manages these containers, implementing automated deployment, scaling and management, and making applications run efficiently.

The purpose of Docker is to simplify application deployment and ensure that applications run consistently in different environments through containerization technology. 1) Docker solves the environmental differences problem by packaging applications and dependencies into containers. 2) Create images using Dockerfile to ensure that the application runs consistently anywhere. 3) Docker's working principle is based on images and containers, and uses the namespace and control groups of the Linux kernel to achieve isolation and resource management. 4) The basic usage includes pulling and running images from DockerHub, and the advanced usage involves managing multi-container applications using DockerCompose. 5) Common errors such as image building failure and container failure to start, you can debug through logs and network configuration. 6) Performance optimization construction

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.


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

Zend Studio 13.0.1
Powerful PHP integrated development environment

SublimeText3 Chinese version
Chinese version, very easy to use

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

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