Docker is a container technology that allows developers to package applications into an independent, portable container, thereby ensuring application reliability and repeatability. Docker containers can be deployed on any computer, whether physical or cloud, and they all have access to the same environment, thus ensuring application portability.
Docker’s container technology mainly has the following advantages:
- Efficiency
Docker containers are lightweight and start and stop very quickly. , because they share memory and CPU time with the host operating system. At the same time, Docker containers only contain applications and their associated dependencies, so their space and resource consumption are very low.
- Portable
Docker containers can run on a variety of operating systems, including Linux, Windows, Mac, etc., which allows developers to write, Test and deploy applications. In addition, Docker containers support portability between multiple cloud computing platforms, eliminating the issue of cloud vendor lock-in.
- Security
Docker containers are self-contained and each container is isolated in an environment of its own, which enables sandbox protection between the application and the server . Docker also provides a series of security mechanisms to prevent applications within the container from being attacked or abused.
- Repeatable
Applications and dependencies in Docker containers can be traced back to exact version numbers, which allows containers to be built and deployed repeatedly. This is very important in development, testing and production environments as it will ensure the consistency and stability of the application in various environments.
Because of these advantages, Docker container technology is becoming more and more popular and has become the technology of choice among large enterprises:
- Platform support
Docker container The technology has been supported by various large cloud computing platforms. This includes Amazon Web Services (AWS), Google Cloud Computing, Microsoft Azure, etc. These platforms all provide tools and services that support Docker container technology, providing enterprises with a better development environment.
- Widely used
Docker container technology has become widely used, and they are replacing existing virtual machines and standalone servers. Many enterprises are migrating their applications to containers for greater efficiency and lower costs. In addition, Docker has also become one of the standard technologies in enterprises.
- Community Support
The openness and flexibility of Docker container technology make it an active and rapidly growing community. There are thousands of developers in the community using Docker container technology and sharing their best practices, tools, and tips. This provides enterprises with better support and resources and encourages continued development and improvement of Docker.
In short, Docker container technology has become an essential technology for enterprises. Whether it is development, testing or production, it has higher efficiency and lower costs. In the world of containers, Docker can be said to lead enterprises to higher achievements.
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You can switch to the domestic mirror source. The steps are as follows: 1. Edit the configuration file /etc/docker/daemon.json and add the mirror source address; 2. After saving and exiting, restart the Docker service sudo systemctl restart docker to improve the image download speed and stability.

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.

How to run Docker commands? Install Docker and start the daemon. Common Docker commands: docker images: display image docker ps: display container docker run: run container docker stop: stop container docker rm: delete container interact with container using Docker command: docker exec: execute command docker attach: attach console docker logs: display log docker commit: commit change to mirror stop Docker daemon: sudo systemctl stop doc

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.

A Data Volume Container is a Docker container that stores and manages persistent data. Using a data volume container includes: 1. Create a data volume container; 2. Mount a data volume; 3. Use a data volume in the container. Advantages: persistence, shared data, backup and recovery; Disadvantages: performance, portability.

Docker LNMP container call steps: Run the container: docker run -d --name lnmp-container -p 80:80 -p 443:443 lnmp-stack to get the container IP: docker inspect lnmp-container | grep IPAddress access website: http://<Container IP>/index.phpSSH access: docker exec -it lnmp-container bash access MySQL: mysql -u roo

You can use a variety of methods provided by Docker to find containers, including: Docker CLI: Use commands such as docker ps to list containers and use filters to narrow down searches. Docker API: Send a request to retrieve container information. Docker Compose: Use commands such as docker-compose ps to list containers. Docker Tools: Use tools such as Docker Explorer or Portainer to manage containers in a graphical interface. Container ID: Use a unique ID to find containers with the Docker CLI, API, or tool.

Resolve Docker startup failure: 1. Run Docker with root user permissions; 2. Check port conflicts and adjust port numbers; 3. Clean unused images and volumes to free up storage space; 4. Increase memory allocated by Docker; 5. Install required dependencies; 6. Check the correctness of volume mounts; 7. View container logs for error information; 8. Update the kernel version to comply with Docker requirements.


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