Deploying Machine Learning Models With Flask and Docker

Containers in microservices are a way of packaging and deploying individual components or services of a larger application. A container is a lightweight and portable unit of software that includes all the necessary dependencies, configurations, and libraries required to run a specific service.

Docker helps to run an application independently since it contains all the dependencies required to run from the host computer.

No, Docker is different from a virtual machine. It is a container which is similar to a virtual machine except that it does not have its own resources. Rather, it shares them with the host machine. This helps to deploy apps easily by installing all the dependencies.