When encountering Docker problems, you should first locate the problem, which is problems such as image construction, container operation or network configuration, and then follow the steps to check. 1. Check the container log (dockerlogs or docker-composelogs) to obtain error information; 2. Check the container status (dockerps) and resource usage (dockerstats) to determine whether there is an exception due to insufficient memory or port problems; 3. Enter the inside of the container (dockerexec) to verify the path, permissions and dependencies; 4. Review whether there are configuration errors in the Dockerfile and compose files, such as environment variable spelling or volume mount path problems, and recommend that cleanbuild avoid cache dryness

The main difference between Docker and traditional virtualization lies in the processing and resource usage of the operating system layer. 1. Docker containers share the host OS kernel, which is lighter, faster startup, and more resource efficiency; 2. Each instance of a traditional VM runs a full OS, occupying more space and resources; 3. The container usually starts in a few seconds, and the VM may take several minutes; 4. The container depends on namespace and cgroups to achieve isolation, while the VM obtains stronger isolation through hypervisor simulation hardware; 5. Docker has better portability, ensuring that applications run consistently in different environments, suitable for microservices and cloud environment deployment.

When the "Timedoutwaitingforthedebuggertoattach" issue occurs, it is usually because the connection is not established correctly in the debugging process. 1. Check whether the launch.json configuration is correct, ensure that the request type is launch or attach and there is no spelling error; 2. Confirm whether the debugger is waiting for the debugger to connect, and add debugpy.wait_for_attach() and other mechanisms; 3. Check whether the port is occupied or firewall restricted, and replace the port or close the occupied process if necessary; 4. Confirm that the port mapping and access permissions are configured correctly in a remote or container environment; 5. Update VSCode, plug-in and debug library versions to solve potential

To set debug environment variables in VSCode, you need to use the "environment" array configuration in the launch.json file. The specific steps are as follows: 1. Add "environment" array to the debugging configuration of launch.json, and define variables in key-value pairs, such as API_ENDPOINT and DEBUG_MODE; 2. You can load variables through .env files to improve management efficiency, and use envFile to specify file paths in launch.json; 3. If you need to overwrite the system or terminal variables, you can directly redefine them in launch.json; 4. Note that

To expose Docker container ports, the host needs to access the container service through port mapping. 1. Use the dockerrun-p[host_port]:[container_port] command to run the container, such as dockerrun-p8080:3000my-web-app; 2. Use the EXPOSE instruction to mark the purpose in the Dockerfile, such as EXPOSE3000, but the port will not be automatically published; 3. Configure the ports segment of the yml file in DockerCompose, such as ports:-"8080:3000"; 4. Use dockerps to check whether the port map is generated after running.

There are three main ways to set environment variables in PHP: 1. Global configuration through php.ini; 2. Passed through a web server (such as SetEnv of Apache or fastcgi_param of Nginx); 3. Use putenv() function in PHP scripts. Among them, php.ini is suitable for global and infrequently changing configurations, web server configuration is suitable for scenarios that need to be isolated, and putenv() is suitable for temporary variables. Persistence policies include configuration files (such as php.ini or web server configuration), .env files are loaded with dotenv library, and dynamic injection of variables in CI/CD processes. Security management sensitive information should be avoided hard-coded, and it is recommended to use.en

The key to debugging code with VSCode in Docker containers is to configure the development environment and connection methods. 1. Prepare a mirror with development tools, install necessary dependencies such as debugpy or node, and use the official devcontainers image to simplify configuration; 2. Mount the source code and enable the Remote-Containers plug-in, create .devcontainer folders and configuration files, and realize in-container development; 3. Configure the debugger, add debug settings for the corresponding language in launch.json, and enable the listening port in the code; 4. Solve common problems, such as exposing the debug port, ensuring the host is 0.0.0.0, and use postCreateC

To access services in Docker container from the host, use port mapping. The specific steps are: 1. Use -p to specify host_port:container_port when starting the container, such as dockerrun-d-p8080:80nginx; 2. Multiple ports can be configured through multiple -p parameters or DockerCompose files; 3. IP address binding can be limited, such as -p192.168.1.100:8080:80; 4. Use dockerps or dockerinspect to view port mapping details.