Docker is an open source application container engine that helps developers package, publish and run applications. In Docker, an image is the building block of an application and contains all the files, dependencies, and configuration information needed to run the application. In the Docker community, there are millions of open source image files available for developers, and these image files are widely used in various application scenarios.
This article will introduce some widely used Docker image files and their uses to help developers better understand Docker application scenarios.
- Alpine
Alpine is a Docker image file based on a lightweight Linux operating system, which is very popular. This image file is very small, only about 5MB, and is the smallest Docker image file currently known. Alpine image files are widely used to build lightweight Docker containers. It also provides some basic tools and packages, such as bash, curl, gcc, etc., which are sufficient for some simple applications.
- Nginx
Nginx is a widely used web server software that is also used as a reverse proxy, load balancing, and HTTP caching server. In the Docker community, Nginx image files have become one of the commonly used images, and can be used to build high-performance web applications when combined with other technologies such as WordPress. The advantage of Nginx is that it is very stable, efficient, easy to configure, and can add new functions through plug-ins.
- Redis
Redis is a memory-based data storage system that is widely used in real-time data caching, ranking, counters, distributed session management, etc. In the Docker community, Redis image files are also very popular. Due to its fast, reliable and easy-to-use characteristics, it is very suitable for building scalable distributed systems.
- MySQL
MySQL is a popular relational database management system that supports multiple data types, multiple connections, and high performance. In the Docker community, MySQL image files have become one of the preferred image files for developers to build database applications. MySQL containers can be delivered, deployed, and scaled quickly, making MySQL a more convenient solution for developing MySQL applications.
- Node.js
Node.js is a JavaScript-based backend server technology. It supports high-performance, non-blocking I/O and event-driven programming, which makes it ideal for building real-time web applications. In the Docker community, the Node.js image file is also very popular, and many developers use it to build Node.js web applications and web services.
In short, Docker image files provide many basic software and libraries that are easy for developers to use, which allows them to focus more on application development, thereby liberating them from tedious environment configuration and dependency management. The images introduced in this article include Alpine, Nginx, Redis, MySQL and Node.js, which are widely used image files in the Docker community. These images can be very conveniently used in different application scenarios that developers need.
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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]

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)

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.

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database


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