Docker with DevOps Program with Implementation. In this document, we would like to explain the container connectivity aspects and how the container networking and communication comes handy in producing next-generation microservices-centric, enterprise-class, and distributed applications. We have picked up a use case and demonstrated how the linkage between an application and a backend database results in a containerized business application.

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13/02/17 | Author
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Feb 1, 2017
Dockerisation of server code with auto scaling
By Skylab Vanga

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What is Docker
Docker is an open-source project that automates the deployment
of applications inside software containers. It provides a additional
layer of abstraction and automation of OS level virtualization on Linux.
Provide a uniformed wrapper around a software package: «Build, Ship
and Run Any App, Anywhere.
Analogous to shipping containers: The container is always the same,
regardless of the contents and thus fits all modes of transport

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Docker vs. Virtual Machine
Containers are isolated, but share OS
and, Where appropriate, bins/libraries.
VM: You have a container image that is
1GB in size. If you wanted to use a Full
VM, you would need to have 1GB times x
number of VMs you want.
Docker: With LXC (Linux Container)
you can share the bulk of the 1GB, It
means that if you have 1000 containers
you still might only have a little over 1GB
of space for the containers OS, assuming
they are all running the same OS image.

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REST Api Server on Docker Cloud.
Host-1 OS (linux)
Docker Engine
CouchDB/REST Api-
Server Docker Images
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Docker
Source
Code
Reposito
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Docker Cloud Image
Registory/Services,
Auto-ScalingPush the Images
Host-2 OS (Linux)
Docker Engine
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Search
Pull and Run

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Key Achievement’s
Scope
Create a build using Docker platform and Docker Cloud for automatic deployment with any number of
containers.
Customizable for smart deployments and scaling with zero downtime.
Ease of deployment of server code
Search, Push and Pull the container anywhere in the world
Run CD/CI on cloud infrastructure
Features
Modeling of users’ code and easy to deploy using docker repository server.
Add-on Autoscaling based on CPU and RAM utilization.
Light weight IaaS.
Benefits to Client
Easy deployment of code to cloud
Optimal infrastructure usage
Environment Standardization and Version Control.
Simplicity and faster configurations with Increased productivity Rapid Deployment
Low memory foot print

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Devops Process for REST Api Server
CI/CD using with DevOps
Tools
Jira : For Work Item management
GitHub/GitLab: It is a issue tracking features and code management tool.
Jenkins: Using for CI/CD.
Docker Registry: For Docker Images management.

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Results
lDocker Images List
lDocker Containers List

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