In the last tutorial, we briefly touched on the topic of containers and containerizarions. To recall, a container is a standard software unit. It has all the code, and its dependencies packed up in that unit and helps run the application quickly and reliably across the computing environments. So let us discuss Docker containers in this article.
A Docker container is a standalone, lightweight, executable package of software. As already mentioned, since it’s a container, it has everything bundled up together that is needed to run an application like application code, system tools, runtime, binaries, libraries, etc.
As part of Docker containers, we will discuss the following topics in this article.
In our earlier chapter on “Docker Images,” we discussed Docker images in detail. We know that the Docker image is a static entity, and to run the Docker image, we have to associate it with a container. In other words, Docker images become containers at runtime or when they run on Docker Engine.
So a Docker container has the following characteristics:
Docker containers are the Docker images at runtime and are lightweight, standard, and secure in a nutshell. So when exactly Docker container technology came into existence?
It was in 2013 that the Docker container technology’s launch happened as an open-source Docker Engine.Therefore, one can view the Containers as ‘organizational units’ of Docker. Additionally, we have portable software running in our container. Like cargo ship containers, we can move this container (ship the software), modify, manage, create, remove, or destroy it.
So in simple terms, if the Docker image is a template or blueprint, then the container is a running copy of this image. We can have multiple copies of this image, which means we can have multiple containers with the same image.
#docker #docker containers