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Kubernetes Vs Docker – Which to Adopt?

What is Docker?

Docker is a containerization platform. Fundamentally, it’s a toolkit that makes it simpler, more secure, and quicker for engineers to build, deploy and manage containers. In spite of the fact that it started as an open-source project, Docker today also refers to Docker, Inc., the organization that produces commercial Docker products. Presently, it is the most famous tool for making containers, regardless of whether developers use Windows, Linux, or MacOS. Some of the tools and terminology related to Docker –

  • Docker Engine: The runtime environment that permits developers to create and run containers.

  • Dockerfile: A text document that defines everything needed to assemble a Docker container image, for example, file locations and OS network specification. It’s basically a list of orders that Docker Engine will run to collect the image.

  • Docker Compose: A tool for characterizing and running multi-container applications. It makes a YAML document to determine the services that the application contains and can be deployed with a single order through the Docker CLI.


Benefits of Docker

  • Offers an easy initial setup

  • Simple configuration

  • Incorporates and works with existing Docker tools

  • Permits you to describe your application lifecycle

  • User can track container versions easily to look at inconsistencies between earlier versions.

  • Documentation offers every piece of information.

  • Guarantees that application is isolated


Weaknesses of Docker

  • Doesn’t give a storage choice

  • Poor monitoring option

  • Absence of automatic rescheduling of non-active Nodes

  • Every action is must be performed in CLI

  • Manual dealing with multiple instances

  • Need support for different devices for production aspect – observing, mending, scaling

  • Complicated manual cluster deployment


What is Kubernetes?

Kubernetes is an open-source platform used to automate the containerized workload management. It automates the load balancing, manages service discovery, tracks resource allocation, and several other activities required for automatic containers deployment.

Benefits of Kubernetes

  • Easy Organization of service with pods

  • Holds fast to the principles of an unchanging framework.

  • Developed by Google having impeccable industry experience

  • One of the largest Communities among container management tools

  • Offers different storage alternatives for on-premises SANs and public cloud.

Weaknesses of Kubernetes

  • Relocating to stateless requires extra efforts

  • Restricted functionality as per the accessibility in the Docker API.

  • Profoundly intricate Installation/configuration measures

  • Not viable existing Docker CLI and Compose tools

  • Complex automatic scale-up settings and manual cluster deployment

Kubernetes Vs Docker: Difference between Docker and Kubernetes


Some Key Kubernetes and Docker Differences –

  • Docker Swarm is developed by Docker Inc. and Kubernetes is developed by Google.

  • Kubernetes supports Auto-scaling while Docker Swarm doesn’t.

  • Kubernetes can support around 5000 hubs while Docker Swarm can support around 2000 hubs.

  • Docker Swarm is comprehensive and highly customized whereas Kubernetes is comparatively less extensive and customized.

  • Kubernetes gives low fault tolerance as compared to Docker.


Comparison Table

Factors

Kubernetes

Docker Swarm

Developed By

Google

Docker Inc

Released Year

2014

2013

Scaling

Auto-Scaling

No Auto-Scaling

Installation

Complex and time taking

Easy and quick

Load Balancing

Requires manual configure for load balancing setting

Auto load Balancing

Cluster SetUp

Setting up the cluster requires only two commands

Setting up the cluster is complicated

Data Volume

Share storage volumes with other containers

Can share storage volumes within multiple containers in the same pod.

Scalability

Scaling up is slow but guarantees stronger cluster state

Can scale up faster than K8S. Its Cluster strength is not robust

Optimized for

Multiple small cluster

single large cluster

Tolerance Ratio

Low fault tolerance rate

High tolerance rate

Container Limit

Limited to 300000 containers

Limited to 95000 containers

Public cloud service provider

Google, Azure and AWS

Azure only

Compatibility

Comprehensive and highly customizable

Less extensive and customizable



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