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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Using Docker on Linux can improve development efficiency and simplify application deployment. 1) Pull Ubuntu image: dockerpullubuntu. 2) Run Ubuntu container: dockerrun-itubuntu/bin/bash. 3) Create Dockerfile containing nginx: FROMubuntu;RUNapt-getupdate&&apt-getinstall-ynginx;EXPOSE80. 4) Build the image: dockerbuild-tmy-nginx. 5) Run container: dockerrun-d-p8080:80

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.

Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.

Docker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".

The methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com

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).

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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