What are the advantages of docker

Advantages of docker: 1. More efficient use of system resources; 2. Faster startup time; 3. Consistent operating environment; 4. Continuous payment and deployment; 5. Easier migration; 6. Easier maintenance and expansion.

The operating environment of this tutorial: linux5.9.8 system, docker-1.13.1 version, Dell G3 computer.

Docker is an open source application container engine that allows developers to package their applications and dependency packages into a portable container, which contains the application code, running environment, dependency libraries, and configuration Necessary resources such as files can be deployed through containers in a convenient, fast and automated manner that is decoupled from the platform. No matter what the environment is when you deploy, the applications in the container will run in the same environment.

The 6 major advantages of Docker

1. More efficient use of system resources

docker The utilization rate of system resources is higher, whether it is application execution speed, memory consumption or file storage speed, it is more efficient than traditional virtual machine technology. Therefore, compared with virtual machine technology, a host with the same configuration can often run a larger number of applications.

2. Faster startup time

Traditional virtual machine technology often takes several minutes to start application services, while docker container applications run directly in the host kernel. There is no need to start a complete operating system, so the startup time can be achieved in seconds or even milliseconds, which greatly saves development, testing, and deployment time.

3. Consistent operating environment

A common problem in the development process is the problem of consistent environments. Due to the inconsistent development environment, test environment, and production environment, there are some bugs. It was not discovered during development. The docker image provides a complete runtime environment except the kernel to ensure environmental consistency, so that problems such as "this code is fine on my machine" will not occur.

4. Continuous payment and deployment

For development and operation and maintenance personnel, the most desired thing is to create and deploy once and run it anywhere. (Customize the application image to achieve integration, continuous payment, and deployment. Developers can build the image through dockerfile and combine it with the continuous integration system for integration testing, while operation and maintenance personnel can quickly deploy the image directly in the production environment, or even combine it with Continuous deployment system for automatic deployment). Moreover, using dockerfile makes the image construction transparent. Not only can the development team understand the application running environment, but it also facilitates the operation and maintenance team to understand the conditions required for application operation, helping to deploy the image in a better production environment.

5. Easier migration

Because docker ensures the consistency of the execution environment, it makes application migration easier. Docker can run on many platforms, whether it is a physical machine, a virtual machine, a public cloud, a private cloud, or even a laptop, and its running results are consistent. Therefore, users can easily migrate applications running on one platform to another platform without worrying about changes in the operating environment causing the application to fail to run properly.

6. Easier maintenance and expansion

The hierarchical storage and mirroring technology used by docker makes it easier to reuse repeated parts of applications, and also makes It is easier to maintain and update applications, and it is also very simple to further expand the image based on the basic image. In addition, the Docker team, together with various open source project teams, has maintained a large number of high-quality official images, which can be used directly in the production environment or used as a basis for further customization, greatly reducing the cost of image production for application services.

Recommended learning: "docker video tutorial"

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