Easy understanding of Kubernetes- Backed by Google

Birdview Logic

Many organizations, IT managers and technical lead still unable to understand Kubernetes concepts however they are looking for ways to deploy them in their organizations to support future road map of cloud and micro-services architecture.

Here we are going to explain in a simplest form what is Kubernetes? What are the ways to setup Kubernetes on premise and over cloud, the cluster setup and building containers.

A very simple definition of Kubernetes is an open source orchestration system for Docker containers it can manage multiple containers for multiple machines in simple words we have Veritas cluster, Sun cluster or HP cluster to manage systems and application resources in case of resource killed it auto restart it or move to secondary node so Kubernetes manage containers services it can restart the container when it killed or even move container to another node.

Kubernetes can manage multiple container nodes, we can run kubernetes anywhere on premises public or hybrid cloud.

Containers: Dockers is the famous and widely deployed container software. It contains Docker run time and Docker image capturing software Docker hub is the online service to store and fetch Docker images

It provide you the isolation this is different from our current legacy environment so let me explain you the concept in a very simple way let’s assume we are running Virtual machine so what is actually required to run the application a server hosting hypervisor hosting OS hosting libraries hosting applications so we create multiple VM’s to host application instances this require creation of VM, boot time, OS installation and application deployment hence consuming man hours and hardware resources hence comes with higher cost of infrastructure especially on cloud.

Now let’s compare it how Dockers work and what makes it different from traditional approach. So we have server hosting OS hosting Docker multiple containers to host multiple containers.

No need to boot guest OS we just need to spin application service which is much quick and do not required additional resources for under laying guest OS.

Famous containers products are Dockers and rkt. The real benefit of containers like Dockers it can run on any machine and same binary will use in dev, sit, qa and production make application development process fast. Same image can be used in cloud, on premises VM’s, laptops etc..

Amazon KOPS is used for highly available clusters. we may also test Kubernetes and the best is to setup a kubernetes cluster using minikube.

For kubernetes cluster management the famous ones are rancher (, Pivatol ( and Redhat openshift (

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