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The benefits that docker brings to operation and maintenance personnel: 1. More efficient use of system resources; 2. Faster startup time; 3. Consistent operating environment; 4. Continuous delivery 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.
What are the benefits of Docker for developers and operation and maintenance personnel
1. More efficient use of system resources
Because containers do not require additional overhead such as hardware virtualization and running a complete operating system, Docker
has a higher utilization rate of system resources. 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 and do not need to start a complete operating system, so they can achieve startup times of seconds or even milliseconds. This greatly saves development, testing, and deployment time.
3. Consistent operating environment
A common problem during the development process is the issue of environmental consistency. Due to the inconsistency between the development environment, test environment, and production environment, some bugs were not discovered during the development process. The Docker
image provides a complete runtime environment except the kernel, ensuring the consistency of the application running environment, so that there will no longer be "This code is fine on my machine" This kind of problem.
4. Continuous delivery and deployment
For development and operation and maintenance (DevOps) personnel, the most desired thing is to create or configure once , can run normally anywhere.
Using Docker
can achieve continuous integration, continuous delivery, and deployment by customizing application images. Developers can use Dockerfile to build images and combine them 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 the Continuous Delivery/Deployment system. Perform 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 running, helping to create a better production environment. Deploy the image.
5. Easier migration
BecauseDocker
ensures the consistency of the execution environment, making application migration easier much 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 notebook, and the 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
Docker
The layered storage and mirroring technology used makes It is easier to reuse duplicate parts of the application, making it easier to maintain and update the application. It is also very simple to further expand the image based on the basic image. In addition, the Docker
team has worked with various open source project teams to maintain 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 image production of application services. cost.
Comparison summary of traditional virtual machines
Features |
Container |
Virtual machine |
##Start | Second level | Minute level |
Hard disk usage | Generally MB |
Generally GB |
Close to native | Weaker than | |
Single machine supports thousands of containers | Generally dozens |
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