Docker: Docker and Kubernetes: How to build a container orchestration platform

Author: Zen and the Art of Computer Programming

Overview

Docker is an open source application container engine that allows developers to package their applications and dependencies into a lightweight, portable image, and then publish it to any popular Linux or Windows machine, which can also be virtualized. Docker-based container cluster management tools such as Kubernetes can quickly deploy and manage containerized applications, simplifying the creation, operation and maintenance of containers. This article mainly discusses the application of Docker and Kubernetes in enterprise-level container cloud platforms.

Why use containers?

Reduce the difficulty of setting up a development environment

Developers no longer need to care about the underlying hardware environment. They only need to install Docker and start the container to develop projects. This can solve the problem of complex development environment construction caused by frequently changing system environments.

Faster delivery and deployment

After the development is completed, you only need to package the application as a Docker image and upload it to the Docker image warehouse. It can be deployed to the target server through automated deployment tools. The whole process requires almost no human intervention, which can greatly shorten the development-test-deployment cycle and achieve better results. Fast delivery and deployment.

Improve resource utilization

Because Docker utilizes resource isolation and restrictions, it can effectively ensure that containers have exclusive resources, improve resource utilization, and reduce performance problems caused by resource competition.

Service migration is more convenient

Docker images can be deployed to run in any environment, and cross-platform compatibility makes it easier to migrate application services to other environments.

Best practices for using Docker

For developers, the following three aspects are the most important: 1. Writing Dockerfile: Write a Dockerfile file that meets your own needs, including basic image, image label, command and other information. 2. Use of mirror warehouse: generally choose official or private

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Origin blog.csdn.net/universsky2015/article/details/131777918