With the development of container technology, Docker, as one of its representatives, has been widely used. It is a lightweight virtualization technology that packages applications and their dependencies into a portable container and runs in a variety of environments.
However, as Docker is more and more widely used, many people have begun to pay attention to the memory size occupied by Docker. This is also a widely debated topic. So, how much memory does Docker take up?
First, we need to understand Docker’s memory usage model. Unlike traditional virtual machines, Docker does not need to assign an independent operating system to each container, which is one of the reasons why Docker can be more lightweight. In Docker, all containers share the kernel and system resources of the host operating system and achieve isolation and independence between containers by running in separate namespaces.
Therefore, the memory size occupied by Docker is not a fixed value. It depends on many factors, such as the number of running containers, the size of the container, the applications in the container and their dependencies, etc. Theoretically, if you are running a large number of containers on a single host, Docker could use a large amount of memory resources.
However, this does not mean that Docker will make your machine slow. Docker itself is not a bloated application, it is just a lightweight tool that executes from the command line. Moreover, Docker's memory usage can be optimized. By adjusting the container's configuration and operating parameters, Docker's memory usage can be effectively reduced.
Also, if your host system has enough memory and processing power, Docker won't actually have much of an impact on your system's performance. As long as your host machine can meet the system requirements of the container, Docker's memory footprint shouldn't be a big issue.
In summary, the memory size occupied by Docker is a relatively small problem. You only need to optimize and adjust the running parameters of the container to effectively reduce the memory footprint of Docker. If your host system has enough memory and processing power, Docker won't actually have a big impact on your system's performance. Therefore, it is completely feasible to use Docker without worrying about its memory usage.
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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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