This document discusses dockerizing server code with auto scaling. It provides an overview of Docker and how it differs from virtual machines by allowing containers to share resources while remaining isolated. It then describes a setup with a REST API server hosted on Docker containers that can be deployed across multiple hosts for scalability. Key benefits are listed such as easy deployment, standardization, and optimal infrastructure usage through auto scaling of containers based on metrics. The document concludes with an overview of the development process using tools like Jira, GitHub, Jenkins and Docker registry for continuous integration and delivery of the REST API server Docker images.

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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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