How to set up networking between Docker containers

As you may be aware, Docker container technology has emerged as a viable lightweight alternative to full-blown virtualization. There are a growing number of use cases of Docker that the industry adopted in different contexts, for example, enabling rapid build environment, simplifying configuration of your infrastructure, isolating applications in multi-tenant environment, and so on. While you can certainly deploy an application sandbox in a standalone Docker container, many real-world use cases of Docker in production environments may involve deploying a complex multi-tier application in an ensemble of multiple containers, where each container plays a specific role (e.g., load balancer, LAMP stack, database, UI).

Docker : An Introduction to LXC

Docker is an open source project, which packages applications and their dependencies in a virtual container that can run on any Linux server. Docker has immense possibilities as it facilitates the running of several OS's on the same server.

Technology is changing faster than styles in than fashion world, and there are many new entrants specific to the open source, cloud, virtualisation, and DevOps technologies. Docker is one of them. The aim of this article is to give you a clear idea of Docker, its architecture and its functions, before getting started with it. 

Docker is a new open source tool based on Linux container technology(LXC), designed to change how you think about workload/application deployments. It helps you to easily create light-weight, self-sufficient, portable application containers that can be shared, modified and easily deployed to different infrastructure such as cloud/compute servers or bare metal servers. The Idea is to provide a comprehensive abstraction layer that allows developers to 'containerise' or 'package' any application  and have it run on any infrastructure.

Docker is based on container virtualisation and it is not new. There is no better tool than Docker to help manage kernel level technologies such as LXC, cgroups and a copy-on-write filesystems. It helps us manage the complicated kernel layer technologies through tools and APIs.

Cloud Computing

 

Clearly, there is a need for a baseline definition and a discussion of the many aspects comprising cloud computing.I believes that a detailed characterization of cloud computing must include three things:
1. The consumption model. Cloud computing offers a unique way to consume compute, network, and storage resources.
2. The services model. Cloud computing can be used as a platform for different activities up and down the technology stack.
3. The deployment model. Cloud computing is not a one-size-fits-all platform. Rather, there arenumerous ways to deploy and utilize clouds.