


What is the difference between docker and traditional virtualization technology?
Docker is similar to the concept of a virtual machine, but it has several differences from virtualization technology, as follows:
(Recommended learning: docker tutorial)
1. Virtualization technology relies on physical CPU and memory and is hardware-level; while docker is built on the operating system and uses the containerization technology of the operating system, so docker can even run on a virtual machine;
2. 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 deploying a redis, A memcached;
3. Traditional virtualization technology uses snapshots to save state; docker is not only more portable and low-cost in saving state, but also introduces a similar source code management mechanism to save the snapshot history of the container. Versions are recorded one by one, and the switching cost is very low;
4. Traditional virtualization technology is more complicated when building the system and requires a lot of manpower; while docker can build the entire container through Dockfile, restarting and building faster soon. 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;
5. Dockerfile can be based on the already built container image. Create new container. Dockerfile can be shared and downloaded through the community, which is conducive to the promotion of this technology.
Docker will work like a portable container engine. It packages the application and all the program's dependent environments into a virtual container, which can run on any kind of Linux server. This greatly improves the flexibility and portability of program operation, regardless of whether it requires permission, whether it is in a public cloud or a private cloud, whether it is a bare metal environment, etc.
The above is the detailed content of What is the difference between docker and traditional virtualization technology?. For more information, please follow other related articles on the PHP Chinese website!

Docker and Kubernetes are key tools for modern software development and deployment. Docker simplifies application packaging and deployment through containerization, while Kubernetes is used for large-scale container orchestration and management. Using Docker and Kubernetes can significantly improve the scalability and management efficiency of your application.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

LXC is the foundation of Docker, and it realizes resource and environment isolation through cgroups and namespaces of the Linux kernel. 1) Resource isolation: cgroups limit CPU, memory and other resources. 2) Environment isolation: namespaces provides independent process, network, and file system views.

Best practices for using Docker on Linux include: 1. Create and run containers using dockerrun commands, 2. Use DockerCompose to manage multi-container applications, 3. Regularly clean unused images and containers, 4. Use multi-stage construction to optimize image size, 5. Limit container resource usage to improve security, and 6. Follow Dockerfile best practices to improve readability and maintenance. These practices can help users use Docker efficiently, avoid common problems and optimize containerized applications.

Using Docker on Linux can improve development and deployment efficiency. 1. Install Docker: Use scripts to install Docker on Ubuntu. 2. Verify the installation: Run sudodockerrunhello-world. 3. Basic usage: Create an Nginx container dockerrun-namemy-nginx-p8080:80-dnginx. 4. Advanced usage: Create a custom image, build and run using Dockerfile. 5. Optimization and Best Practices: Follow best practices for writing Dockerfiles using multi-stage builds and DockerCompose.

The core of Docker monitoring is to collect and analyze the operating data of containers, mainly including indicators such as CPU usage, memory usage, network traffic and disk I/O. By using tools such as Prometheus, Grafana and cAdvisor, comprehensive monitoring and performance optimization of containers can be achieved.

DockerSwarm can be used to build scalable and highly available container clusters. 1) Initialize the Swarm cluster using dockerswarminit. 2) Join the Swarm cluster to use dockerswarmjoin--token:. 3) Create a service using dockerservicecreate-namemy-nginx--replicas3nginx. 4) Deploy complex services using dockerstackdeploy-cdocker-compose.ymlmyapp.

How to use Docker and Kubernetes to perform container orchestration of enterprise applications? Implement it through the following steps: Create a Docker image and push it to DockerHub. Create Deployment and Service in Kubernetes to deploy applications. Use Ingress to manage external access. Apply performance optimization and best practices such as multi-stage construction and resource constraints.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

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

SublimeText3 English version
Recommended: Win version, supports code prompts!

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Zend Studio 13.0.1
Powerful PHP integrated development environment