Why use docker containers
Advantages of using docker containers: 1. You can use images to quickly build a standard development environment and quickly deploy code; 2. Efficient resource utilization can achieve higher performance while requiring additional resources. Very low; 3. High compatibility, allowing users to easily migrate applications between different platforms; 4. Automatic and efficient container management can be achieved.
The operating environment of this tutorial: linux5.9.8 system, docker-1.13.1 version, Dell G3 computer.
What is docker?
Docker is an open source application container engine developed and implemented based on the Go language. Using technologies such as Linux kernel's cgroup, namespace, and AUFS-like Union FS, processes are encapsulated and isolated, and virtualization can also be achieved. The isolated process is independent of the host and other isolated processes, so it is also called a container.
Docker containers can be understood as a lightweight sandbox. Each container runs an application. Different containers are isolated from each other, and the containers can also communicate with each other through the network. The creation and stopping of containers is very fast, almost the same as creating and terminating native applications; in addition, the additional requirements for system resources of the container itself are also very limited, far less than that of traditional virtual machines. Many times, there is no problem in treating the container directly as the application itself
Why use docker
For development and operation and maintenance personnel, The most desired effect is that after once created or configured, the application can run normally anywhere and at any time. For algorithm researchers, different algorithms may require different versions of software, so conflicts will exist in the same environment. , Docker's environment isolation can be easily used for configuration in different environments. Specifically, the advantages of docker mainly include the following aspects:
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Fast delivery and deployment
Using docker, developers can quickly use images Build a standard development environment; after development is completed, testing and operation and maintenance personnel can use the exact same environment to deploy code. As long as the code is developed and tested, it can ensure seamless operation in the production environment. Docker can quickly create and delete containers to achieve rapid iteration.
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Efficient resource utilization
Running docker containers does not require the support of additional virtualization management programs. Docker is kernel-level virtualization. Higher performance can be achieved with low additional resource requirements.
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Easy migration and expansion
Docker containers can run on almost any platform, including physical machines, virtual machines, public clouds, Private clouds, servers, etc. also support mainstream operating system releases. This compatibility allows users to easily migrate applications between different platforms.
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Simple update management
Using Dockerfile to generate images, only small configuration modifications are needed to replace a large number of previous updates. Work, all modifications are distributed and updated incrementally, enabling automated and efficient container management.
Recommended learning: "docker video tutorial"
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The steps to update a Docker image are as follows: Pull the latest image tag New image Delete the old image for a specific tag (optional) Restart the container (if needed)

How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

Steps to create a Docker image: Write a Dockerfile that contains the build instructions. Build the image in the terminal, using the docker build command. Tag the image and assign names and tags using the docker tag command.

Four ways to exit Docker container: Use Ctrl D in the container terminal Enter exit command in the container terminal Use docker stop <container_name> Command Use docker kill <container_name> command in the host terminal (force exit)

You can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

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.

To save the image in Docker, you can use the docker commit command to create a new image, containing the current state of the specified container, syntax: docker commit [Options] Container ID Image name. To save the image to the repository, you can use the docker push command, syntax: docker push image name [: tag]. To import saved images, you can use the docker pull command, syntax: docker pull image name [: tag].
