Centos options after stopping maintenance

How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

macvlan in Docker is a Linux kernel module that allows containers to have their own MAC address, enabling network isolation, performance improvement and direct interaction with the physical network. Using macvlan requires: 1. Install the kernel module; 2. Create a macvlan network; 3. Assign IP address segments; 4. Specify the macvlan network when container creation; 5. Verify the connection.

Docker application development uses containers to package and deploy applications, providing isolation, portability, consistency, rapid deployment, and version control. The processes include writing code, creating Dockerfiles, building images, running containers, and deploying. Additionally, Docker volumes can be used for data persistence, networks enable secure communication between containers, and orchestration tools can manage large-scale deployments.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

Docker uses container engines, mirror formats, storage drivers, network models, container orchestration tools, operating system virtualization, and container registry to support its containerization capabilities, providing lightweight, portable and automated application deployment and management.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages ​​and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.