Containers are isolated environments that package an application and its dependencies together, allowing it to run consistently across different systems. They are widely used in modern software development and deployment, especially in cloud environments.
Many cloud platforms use containers to host applications. For example:
When you deploy an application, you want to ensure it runs the same way in production as it does in development.
The simplest way to do this is to run the application on a computer. However, when multiple applications need to run on the same computer, they can interfere with each other. For example, if one application requires a specific version of Python or a library, it might conflict with another application that needs a different version.
We use containers to enable multiple applications with conflicting requirements to run on the same computer.
A DockerFile is a text file that contains instructions for building a Docker container image. It specifies the base image, the software to install, and any configuration needed for the application.
A Docker image is a snapshot of a container that includes the application code, runtime, libraries, and dependencies. It is built from a DockerFile and can be shared or deployed.
A Docker container is a running instance of a Docker image. It is an isolated environment where the application runs, with its own filesystem, processes, and network stack.
When we deploy an application using containers, e.g. when deploying on Replit, the following steps typically occur: