Docker is a very popular open source containerization platform that helps developers build and deploy applications quickly and efficiently. Although Docker has many powerful and useful features, it is inevitable to encounter some problems and errors during use. This article will introduce some common Docker container errors and provide some solutions to help you use Docker better.
- docker: Error response from daemon: driver failed programming external connectivity on endpoint
This is a common Docker container error that may occur when running a Docker container. This error is usually caused by a port conflict.
Solution:
1) Check whether the host is already using the port. You can use the command "sudo netstat -tunlp" to check whether the port is already occupied.
2) Check whether the container is already using the port. You can use the command "docker ps" to check running containers and their ports.
3) If the port is already occupied, you can try to change the port number and rerun the container. For example, if the container is using port 8080, you can map it to a different port using the "-p 8081:8080" command.
- docker: Error response from daemon: OCI runtime create failed
This error is usually caused by the lack of relevant dependency packages in the container or the incorrect running environment. For example, some specific software dependency packages may need to be installed in the container, otherwise an error will be reported.
Solution:
1) Check the Dockerfile and related configuration of the container to confirm whether all necessary dependency packages and operating environment have been installed in the container.
2) If the dependency package is indeed missing in the container, you can use the "-v" option in the "docker run" command to mount the dependency package in the host into the container, or add the corresponding package in the Dockerfile Dependency package installation command.
3) In addition, you also need to ensure that the host and its kernel version match the current Docker version. You can try to update or downgrade Docker and other measures.
- docker: Error response from daemon: conflict: unable to delete XX(container ID)
This error usually means that Docker cannot delete the specified container. This problem is usually caused by the container being running or occupied by other processes.
Solution:
1) Try to manually stop the container and rerun the delete command. If the container has been stopped, you can try to restart the Docker service or restart the host.
2) If the container is already occupied, you can use the "docker kill" command to force stop the container, or use the "docker rm -f" command to forcefully delete the container. However, forcefully deleting a container may result in data loss and should be done with caution.
- docker: Error response from daemon: network XXX not found
This error is usually caused by the network where the container is located does not exist. When using the "docker run" command, the user can specify the network where the container is located. If the specified network does not exist, an error will be reported.
Solution:
1) Use the "docker network ls" command to list all current networks and check whether the network name is written correctly.
2) If the network does not exist, you can use the "docker network create" command to create the network.
Summary:
Through the introduction of this article, we can learn about some common problems and solutions to Docker container errors. When using Docker, we should pay attention to checking error messages, troubleshooting, and handling problems in a timely manner in order to better utilize the advantages of Docker.
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How to build portable applications with Docker and Linux? First, use Dockerfile to containerize the application, and then manage and deploy the container in a Linux environment. 1) Write a Dockerfile and package the application and its dependencies into a mirror. 2) Build and run containers on Linux using dockerbuild and dockerrun commands. 3) Manage multi-container applications through DockerCompose and define service dependencies. 4) Optimize the image size and resource configuration, enhance security, and improve application performance and portability.

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