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What is Docker?

If you are a developer or system administrator, you have most likely heard the word Docker. Or if you are a new IT practitioner or a student in the STEM field, you may be curious about the various conveniences provided by Docker technology. So, what exactly is Docker?

Docker is a lightweight containerization technology that can package a software application and all its dependencies into a portable container and then deploy it directly to any device whose operating system supports Docker containers. By using Docker, developers and system administrators can quickly write, test, deploy and run applications in different running environments, thereby improving application portability, reliability and scalability.

Compared with traditional virtualization technology, Docker containerization technology has the following three significant advantages:

  1. Lightweight and fast: The size of Docker containers is usually only a few Ten or hundreds of megabytes, it is also faster and more efficient than traditional virtual machines during startup and operation. During the startup and running process of the Docker container, no additional hardware virtualization support is required, thus avoiding the performance loss problem of traditional virtualization technology.
  2. Interchangeable and portable: Because a Docker container contains a complete application and all its dependencies, this allows it to run in any Docker container environment without worrying about operating system or hardware environment compatibility issues between.
  3. Simple and easy to manage: Using Docker containers to package and deploy applications can realize automated deployment, configuration and management, thereby reducing the need for manual intervention and improving application deployment and management efficiency.

The working principle of Docker is to use Docker images to create and run Docker containers. These images can be regarded as executable files of applications in the Docker environment. When you need to run an application, Docker will obtain the corresponding image from the Hub or local repository and run the application in the Docker container.

In addition to its advantages, Docker also has some disadvantages and limitations. For example, because Docker containers share the host's kernel and resources, this may lead to some security risks and resource conflicts between containers. In addition, Docker containerization technology is not suitable for all types of applications, especially applications that require forced use of hardware resources, such as games.

In short, Docker containerization technology is a forward-looking and practical technology that can greatly improve the portability and scalability of applications, thereby achieving faster, more stable and more efficient applications. development and operations. The practical application scope of Docker technology is constantly expanding, and we can believe that Docker will become an important part of application development and operation in the future.

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Docker on Linux: Applications and Use CasesDocker on Linux: Applications and Use CasesApr 17, 2025 am 12:10 AM

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.

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Create a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]

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Methods for copying files to external hosts in Docker: Use the docker cp command: Execute docker cp [Options] <Container Path> <Host Path>. Using data volumes: Create a directory on the host, and use the -v parameter to mount the directory into the container when creating the container to achieve bidirectional file synchronization.

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