Difference between the Docker and the Kubernetes

 What is Kubernetes?

 

Kubernetes is a container orchestration software designed and developed by Google in 2014 and now maintained by the Cloud Native Computing Foundation. The system is open-source and used for automating the following processes in containerized applications:

Deployment

Scaling

Management

The flexibility and reliability of this IT management tool is helpful in effectively managing even the most complicated apps running on varied servers in varied physical and cloud-based environments.

It has been designed to simplify workload scalability using containers. Kubernetes is especially important if you want to define how applications need to run and interact with each other.

What are the Components of Kubernetes Clusters?

 

Pods: Container groups placed on the same node, Pods in Kubernetes clusters are created, scheduled, and deployed together.

Services: Used for Pod group nomenclature, Services in Kubernetes clusters behave as load balancers for traffic to be directed to run containers.

Replication Controllers: Purpose designed to make sure a certain number of Pod replicas in Kubernetes clusters are scheduled and running, Replication Controllers are the essential frameworks in the system.

Labels: Key-value tags, labels are assigned to Pods, Services, and Replication Controllers in Kubernetes clusters to identify the same.

 

What are the Features of Kubernetes?

 

Kubernetes has been known to be a complicated containerization tool. However, the same has been rendered simple and user-friendly via multiple upgrades in recent times. The software is not capable of extensive version control and easier application distribution and deployment.

 

Below are the Kubernetes features worth mentioning:

Automated scheduling, rollouts and rollbacks

Self-healing abilities

Load balancing & horizontal scaling

The high density of resource utilization

Enterprise-ready elements

Application-centric management

Auto-scalability of infrastructure

Predictable infrastructure creation

Declarative configuration

Software deployment and updating at scale

Environment consistency to develop, test, and produce containers

 

Docker, too, is an open-source containerization system like Kubernetes, but lightweight. Over the years, its popularity has soared in the cloud and containerized application packaging and distribution. This orchestration system enables the automation of application deployment in portable and lightweight containers.

 

The software is primarily leveraged for virtualization at the system level.

 

Docker enables users to run multiple operating systems on a single virtual host via clustering of different Docker hosts.

 

The most important aspects to know about Docker are as follows:

 

Docker Engine – the runtime needed to build and run application containers.

Docker File – used to build a Docker container to be run using a Docker Engine. It has all the things needed to run a Docker Image including network specifications of the operating system and file locations.

Docker Image – a static and portable component built using a Docker File which runs on the Docker Engine

Docker Hub – a Docker service that allows you to store and share Docker Images

 

What are the Components of Docker Swarm?

 

Manager Nodes: In a Docker Swarm, Manager Nodes include Control Orchestration, Task Distribution, and Cluster Management.

Worker Nodes: Functions in a Worker Node in Docker Swarm includes running the containers and services the Manager Node assigns.

Services: These components in a Docker Swarm include the blueprint description needed by discrete containers to distribute themselves across nodes.

Tasks: Single containers in a Docker Swarm place their work on slots known as Tasks.

 

What are the Features of Docker?

 

The software has been developed on these four cornerstones:

Docker Universal Control panel that acts as a single interface to deliver powerful UX

A single failure point to form a resilient architecture

Existing components with backward compatibility

Auto-generated certificated for security

Based on its built-up, Docker comes with the following essential features:

Isolated environments for application management

Ease of modeling and version control

Placement and Affinity

Agility of applications

Productivity for developers

Operational efficiency

Kubernetes vs. Docker: Comparison Chart

What are the Pros and Cons of Kubernetes?

 

Here are the top benefits and drawbacks of using Kubernetes container:

 

Pros of Kubernetes:

Open source and customizable

Runs on any operating system

Simplified organization of Service using Pods

Reliable, since developed by Google

Container orchestration the tool with the largest community

Multiple storage options including on-prem SANs and public clouds

Upholds immutable infrastructure principles

 

Cons of Kubernetes:

Migration to stateless is complicated

Functionality is limited and depends on Docker API availability

Installation and configuration is complicated

Incompatible with existing Docker tools

Cluster deployment is manual and complex

Set up of automatic horizontal scaling is complicated

 

What are the Pros and Cons of Docker?

 

Here are significant benefits and drawbacks of using Docker container:

 

Pros of Docker:

 

Open-source software

Initial set up easy and uncomplicated

Lightweight installation

Supports existing tools

Application life cycle can be described in detail

Easy container version tracking

Discrepancy the identification between prior versions

Docker Compose for simple configuration

Quick booting of virtual machine

Speedy running of the app in virtual environment

Documentation for detailed information

Isolated application

 

Cons of Docker:

 

No storage option

Basic infrastructure handling is complicated

The monitoring option is not up to mark

Automatic rescheduling of inactive nodes not possible

Set up of automatic horizontal scaling is complicated

Every action needs to be performed in CLI

Production, monitoring, healing and scaling requires support from other tools

Cluster deployment is manual and complicated

Health checks not supported

Critical components such as Docker Engine and Docker Desktop are not open-source