Docker container is called Docker Container. It is an open source application container engine that allows developers to package their applications and dependency packages into a portable container in a unified way, and then publish it to anyone who has Docker installed. Virtualization can also be implemented on the engine server.
The operating environment of this article: Windows 7 system, Docker version 20.10.11, Dell G3 computer.
What is the docker container called?
docker container is called Docker Container.
Docker container is an open source application container engine that allows developers to package their applications and dependency packages into a portable container in a unified manner, and then publish them to any server with the docker engine installed. (Including popular Linux machines and Windows machines), virtualization can also be implemented. Containers completely use the sandbox mechanism and do not have any interfaces with each other (similar to iPhone apps). There is almost no performance overhead and can be easily run on machines and data centers. Most importantly, they do not depend on any language, framework or system.
Features
Docker containers are roughly similar to other container technologies. However, Docker bundles key application components within a single container, making the container portable across different platforms and cloud computing. As a result, Docker has become the ideal container technology for applications that need to run across multiple different environments.
Docker can also benefit applications that use microservices, which are applications that are decomposed into smaller, specially developed services. These services use a common REST API to interact. Developers using fully encapsulated Docker containers can develop a more efficient distribution model for applications using microservices.
Recommended learning: "Docker Video Tutorial"
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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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