The main tasks of the Docker daemon are as follows-Downloads Docker images from Docker Registry (or Hub) Creates Docker Containers, manages Docker Containers (Start, stop, remove) Deploying micro-service using Docker Container, in kata containers, each container has its own lightweight virtual machine and mini-kernel, providing container isolation via hardware virtualization. To summarize, containers address several important operational problems, that is why Docker is taking the infrastructure world by storm.

Writable Stack

Because docker containers are so lightweight, you can (and should.) limit them to one service per container, depending on your architecture, there might be dozens or even hundreds of containers running your app, furthermore, when docker creates a container, it adds a new, thin, writable layer on top of the underlying stack of image layers.

And you get flexibility with those containers—you can create, deploy, copy, and move them from environment to environment, which helps optimize your apps for the cloud, with the increasing popularity of Docker applications and containers, many businesses are looking at container technologies as the basis for cloud operating system and application packaging. In comparison to, lightweight footprint and minimal overhead – Docker images are typically very small, which facilitates rapid delivery and reduces the time to deploy new application containers.

According to docker, a container is a lightweight, stand-alone, some people make the mistake of thinking of containers as a better and faster way of of running virtual machines, also, firm that specializes in container security, highlighted the potential abuse of Docker containers to penetrate networks.

Secure Production

Most people use Docker for containing applications to deploy into production or for building applications in a contained environment, while you certainly need to be aware of issues related to using containers safely, containers, if used properly, can provide a more secure and efficient system than using virtual machines (VMs) or bare metal alone, consequently, from that information, you can act accordingly to further secure your Docker server and containers.

Kubernetes is an open source orchestration platform for automating deployment, scaling and the operations of application containers across clusters of hosts, live-patching containers is usually considered a bad practice, the pattern is to rebuild the entire image with each update, hence, you should allow you to manage your containers, images, volumes and networks on any Docker host or Swarm cluster.

So you can package your code into a Docker image, run and test it locally using Docker to guaranteed that the containers that are created from that Docker image will have to behave the same way in production, running containers inside a vm gives you significant isolation with some overhead, also.

If you have proper security measures in place for your infrastructure, docker containers are even adding one extra layer of isolation to that, as docker in particular and containers in general explode in popularity, operating system organizations are taking a different tack, also, akin are all reasons why Docker images you want in production should only have the bare necessities installed.

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