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Docker allows you to easily create, deploy and run applications. By using Docker, developers can abandon traditional application installation methods and instead choose to run applications in containers. This containerized approach helps developers better manage applications and allows them to collaborate more quickly and efficiently.
What resources can Docker virtualize? They will be introduced one by one below.
CPU core is the most basic resource virtualized by Docker containers. Docker allows you to divide CPU resources into different containers. This division can help you better manage the CPU resources of the container, thereby preventing the application from monopolizing the CPU resources of the entire host.
Docker can also virtualize memory resources. By using Docker, you can allocate memory resources to different applications and limit the amount of memory each application can use. This method can help you better manage the memory resources of the host and avoid host crashes due to an application seizing too much memory.
The network is another important resource for Docker container virtualization. Docker runs in a virtual network, and each container has its own IP address. This way of virtualizing networks can help developers better manage communication between applications and can better protect application security.
Docker can also store resources virtually. Developers can use Docker to create and manage file systems within containers. The file systems between containers are isolated, which prevents applications between different containers from accessing and modifying each other's file systems, thus ensuring security.
In recent years, more and more applications have begun to use graphics processing units (GPUs) to accelerate calculations. Docker can also virtualize GPU resources. By using GPUs in Docker containers, developers can better utilize existing GPU resources, thus accelerating the computing process.
In summary, the resources that Docker can virtualize include CPU, memory, network, storage and GPU, etc. By using Docker, developers can better manage these resources and run applications better.
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