Containers have been a major part of the development process for quite some time. The fact that they prioritize consistency of all components throughout the journey (Production to development), developers are very partial when it comes to picking one for their development process.
Using containers, developers hold more power to the products across diverse platforms and can modify them as per the need. This accounts for the presence of hordes of software solutions facilitating the abstraction of diverse containers for dedicated services or in simple terms, container orchestration.
It is further anticipated that the spectrum of containerization technology would only scale higher and better. Two of the most popular and successful ones are Kubernetes and Docker Swarm. Both of these have been named as the leaders in the industry and are attributed as the core component of microservices of several organizations.
This blog post will detail you on both of these technologies, followed by a detailed comparison so that you can determine which serves your requirements best.
Kubernetes is a Google powered open-source platform utilized to serve the purposes of deployment of containers, upscaling operations, and embedding total automation cluster-wide. Applications have hundreds and thousands of containers, each designed to aid a specific instance, managing and controlling all of these turns cumbersome. This is where Kubernetes come to rescue and fosters management, deployment, and auto-scaling features.
With Kubernetes, developers can embed an infrastructure where fleets of containers are orchestrated, and similar tasks are executed as hosted on separate machines.
Common terms used by Kubernetes:
(A) Cluster: Series of networks/nodes connected with each to share or extract resources are clustered.
(B) Node: Kubernetes architecture encompasses several machines where each runs the application. These machines in a stand-alone environment are called a node.
(C) Pods: Deployment units that comprise of several containers on the same single node is calls pods.
(D) Containers: Packaging units that serve the purpose of coagulating application binaries adhering to the framework.
Definitely an alternative for Kubernetes, Docker Swarm is also an open-source platform used for packaging and further, distributing applications that have been or need to be containerized.
The overall functionality of docker swarm resonates around four pillars
- Docker Universal Control Plane single interface to facilitate simple yet robust user experience
- A single point failure for resilient architecture
- Security through automated certificate
- Ensure backward compatibility
One thing to note here is that tools that run easily on Docker would follow a similar notion on docker swarm.
Common terms used by Docker Swarm
(A) Node: Any machine that operates instances of docker engine is called a node.
(B)Swarm: The network or the cluster of various docker-engine instances
(C)Worker Node: Docker engine instances that run applications within the containers
(D)Manager Node: Responsible for maintaining the cluster state and further, schedule tasks for the worker node.
Driving A Wedge: Kubernetes Vs Docker Swarm
It is pretty obvious that both of these, docker swarm and Kubernetes has their share of perks and the choice largely depends solely on your requirements. To help you understand better, we have created an in-depth comparison of the two.
Apart from the above, both of these ensure the total availability of the services adopting the policy of replication. One can easily deploy the same container time and again to different nodes, facilitating total redundancy.
By now, it is known that each of the above container orchestration technology is equally effective. In case, the application in development is largely complex and comprise of thousands of production containers, you would need a sturdy and robust platform, and Kubernetes is the ideal fit. On the other hand, if your requirements are basic and looking for simple solutions that are pretty simple to use and do not require much configuration, the docker swarm fits the puzzle best.
In the end, the choice is yours between Kubernetes Vs Docker Swarm is reliant on your project requirements and additional factors. If you are looking for Docker solutions architect at your service to integrate Docker with Microsoft Azure, Google Cloud Platform, AWS, Kubernetes, and Oracle Container Cloud Service, then hire docker developer from us to containerize your application and deploy them more frequently than ever before. We have certified Docker Solutions Architect, who have top-of-the-line expertise in developing containerized architectures, ensuring optimal deployment, determining appropriate tools, and providing instant support for Dockerized applications.