Hire docker developers in India

Docker VS Kubernetes: What’s The Difference?

Those who are interested in containers and cloud-native technologies must be keen to know about Docker and Kubernetes. Also, Docker Vs Kubernetes is one of the most demanding topics and today will look into the same.
 
However, our wide range of cloud services includes Docker and Kubernetes as well.
 
We have seen people looking to enhance their knowledge about these two DevOps technologies and their difference. Further, at Linearloop, you can hire Kubernetes developers who will execute the project in the most optimized way.
 
Being a leading cloud service provider in India, we always maintain quality and transparency throughout the development process. Prior to going for the difference between Docker and Kubernetes, you must understand these concepts individually.

What is Docker?

When it comes to containers, Docker is always there. It is a software platform that supports the development of the application through a small and lightweight environment.
 
It is open-source, and developers prefer it for the packaging and distribution of applications that need to be centralized.
 
Further, the concept facilitates a shared operating system kernel, and each process runs individually without any dependency on the other. If we go in history, Docker came into existence in the year 2013. and since then, the life of developers is a little easier.
 
Now they have a provision to create a package for the entire application and execute it on any machine. As far as, Linearloop is concerned, we have a talented team of DevOps and hire the best docker developers in India from here exclusively.
 
Further, the concept of Docker revolves around four points. Many people are not aware of these concepts, hence have a look. If you already know, it is incredible.
 
  1. Docker Universal Control Plane facilitates concrete experience to their users through a single interface.
  2. For resilient architecture, it has a single point failure.
  3. Docker offers security through the automated certificate.
  4. Backward compatibility is assured in Docker.
Important terms used in Docker Swarm: Knowing exact terminologies is always essential, and being a growing cloud service provider in India, we know its significance. So always pay attention to it.
 
  • Node: Node is one that operates instances of the docker engine.
  • Swarm: Basically, Swarm is the collection or network of various instances of docker-engine.
  • Worker Node: These are the instances of the Docker engine that executes applications inside the containers
  • Manager Node: Maintenance of cluster state and task scheduling are the primary responsibilities of Manager Node.

What is Kubernetes?

Google is behind the foundation of Kubernetes and is an open-source that fulfills the purpose of containers deployment, operations upscale, and cluster-wide embedding all automation.
 
Being a technocrat, you must be knowing that applications have thousands of containers, and each has its defined instance, control, and management. Management of all these tasks is not simple, and hence Kubernetes is involved to manage and up-scale the features.
 
Also, at Linearloop, we have the world’s best Kubernetes developers who analyze your project from ground level and build it accordingly. Next time whenever you want to hire a Kubernetes developer in India, we are here.

Terminologies used in Kubernetes:

Let’s know some important terms used in Kubernetes:
 
  • Cluster: In Kubernetes, a set of nodes or networks execute containerized applications, and its name is the cluster.
  • Node: The worker machine in Kubernetes is called Node. It can either be a virtual machine or a physical machine. Further, the control plane manages each of the nodes.
  • Pods: The smallest execution unit of Kubernetes is called Pods. These pods are transient in nature. Whenever any pod fails, Kubernetes creates its replica to keep the process or operation working.
  • Container: Basically, the container has everything that is required for the execution of an application. It is a ready-to-run software package.
So far, we have understood the concept of Kubernetes and Docker in detail. Now we will move towards differences. So, the upcoming section will cover the detailed comparison of Docker Vs. Kubernetes.
 
Hence, if you are searching for the difference between Docker and Kubernetes, the below-mentioned section will be helpful. Further, if any point keeps you in doubt, contact us immediately. We will do our best to sort out the issue.

Docker Vs. Kubernetes

We will analyze both concepts on various parameters. Comparison of different parameters is essential because each technology has its own significance.

Let’s have a look

Installation Process:

Kubernetes
Docker
Kubernetes need a manual installation process to set up worker nodes components and Kubernetes Master.
Docker needs only a single line command for installation on operating systems like Linux, Ubuntu, CentOS.
Various systems support Kubernetes and it can easily run on the personal laptop, virtual machines, and even bare metal servers
In order to install a single-node Docker Swarm, the user can deploy Docker for Windows or Docker for Mac
Here the support for Windows is under the Beta phase
Here developers get support for Windows 10 long with the server (windows) 2016 & 1709
A manual upgrade is needed for the client & server packages on all the systems
The up-gradation in Docker is easy. With a single click, you can upgrade docker-engine in mac as well as windows.
Installation becomes complex and challenging
Installation is easy and quick

Operations/Working on both the containers:

Kubernetes
Docker
The functioning of Kubernetes revolves around the application level rather than on hardware level.
Two editions are there, at which Docker platforms work. The first one is Docker Community Edition & the second one is Docker Enterprise Edition
It offers support for various workloads that include data-processing, stateful, stateless workloads.
Community-based support forums are for Docker Community and Docker Enterprise Edition is served as enterprise-class support having fixed SLAs.
If you know the CLI (command-line interface) you can run Kubernetes on the top of Docker.
Both the editions of Docker come with Docker Swarm mode by default. Further, Docker Enterprise Edition supports Kubernetes
Selection will depend on the requirement
Selection will depend on the requirement

Scalability:

Kubernetes
Docker
Kubernetes works as one size that fits all for the development methods having distributed structure. Further, several groups of APIs are behind the scene that guarantees the cluster state. As a result of the bigger size, the speed of deployment compromises and scalability suffers
Independent of the size of the cluster, the deployment process with Docker Swarm is always fast. With faster deployment, the response time of the application becomes quick and as a result, its scalability increases.
The scalability of an application degrades with Kubernetes
The scalability of an application enhances with Kubernetes

Load Balancing

Kubernetes
Docker
Kubernetes follow a manual approach and hence load balancing becomes challenging here. In order to initiate the load balancing you need to make the configurations manually
Docker follows automated processes and it performs exceptionally well for load balancing. Further, it comes with prebuilt features that support load balancing and it makes the concept more advantageous than Kubernetes.
Based on the defined containers pods as services, the process of load balancing is initiated by Kubernetes
Here containers have the flexibility to join any node of the application.
It follows the manual approach
It follows the automated approach

Conclusion

These are some major differences between docker and Kubernetes. As we have stated earlier, each technology has its own significance. Further, the selection of any technology is dependent upon the requirement of your project.

Being a reliable cloud service provider in India, we always recommend analyzing the project’s requirements and choosing whatever is best for the project.

Further, if any query comes to your mind, we are always there with the solution. Feel free to connect.


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