文章汇总了Docker常用操作命令及技巧,包括数据库备份恢复、资源监控、系统清理、密钥处理、时区配置、GUI应用安装等。提供MySQL和MariaDB容器数据库的备份命令,通过docker stats和docker images排序容器和镜像资源使用,使用docker system df查看磁盘空间及docker system prune清理无用数据。包含获取Docker密钥值的脚本,安装tzdata设置时区的方法,以及在Docker中安装微信等GUI应用的Dockerfile配置和运行步骤,覆盖容器环境下的各种实用场景。--Qwen3
Setting up a CUDA environment for Docker on Ubuntu involves a structured process to enable GPU acceleration within containers. The journey begins by verifying that the system recognizes the NVIDIA GPU, a critical first step to avoid configuration pitfalls. Installing the correct drivers—whether for desktop or server environments—requires careful selection from available versions, with options for automatic or manual installation ensuring flexibility. Once drivers are in place, Docker must be configured to leverage NVIDIA's container toolkit, a bridge between the host hardware and containerized applications. This integration demands precise repository setup and package installation to ensure compatibility. Testing the setup through commands like `nvidia-smi` within a Docker container confirms successful integration, while stress-testing tools like `gpu-burn` validate the GPU's performance under load. Advanced users can extend this configuration using Docker-Compose to define GPU resourc...--Qwen3