Container Orchestration Systems Comparison: Kubernetes vs Docker
With every other person rushing to have a piece of cloud storage, servers and operation, container orchestration is becoming a hot topic. This short analysis seeks to give you an incisive container orchestration systems comparison: Kubernetes vs Docker.
With the Kubernetes and Docker, it is a only question of complimenting each other. The comparison between the Kubernetes and the Docker has never been about which one is better, but how they could work together. Nevertheless, we shall discuss their various strengths and weaknesses.
What are Container Systems
According to Docker, a container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another.
Alternatively, container systems could be defined as cloud-based package software that ensures streamlining of processes is easy to deploy and takes care of a single process/ application. For example, if a container has MySQL, then that is the specific role that it will perform; offer a cloud-based version of the SQL.
Containerization is particularly an old topic but its growing craze has been remarkable. With the help of Docker, developers can now have access and manage containers. In this article we shall discuss deeply into into the main theme of Kubernetes vs Docker.
Kubernetes is a containerization system which manages, automates and scales up/down container processes. It groups related container processes together for easy coordination.
Roles of the Kubernetes:
- Deploying multi-container applications: Kubernetes enable coordination of multiple applications within different containers to be deployed seamlessly. Containers harbor different processes of an application. These may be cache, databases or even a web front.
- You could tell Kubernetes to deploy the app for as long as you like without the possibility of a malfunction.
- Scale containerized apps: Kubernetes makes it possible to suit application demands by balancing incoming loads.
- Rolling out new versions of an app without downtime. Similarly, Kubernetes allow for a recovered if anything could go wrong. This interruption-free integration is particularly useful to heavy app users.
- Kubernetes work everywhere: As long as there is a cloud support for containers, the Kubernetes will work. Be it private stacks, public clouds or virtual hardware, Kubernetes operate in any environment.
Docker, just like the Kubernetes, is an open-source container cloud-based program that helps in building and securing applications. With Docker, the applications can be virtually deployed anywhere in the world without hitches.
Developed only in 2013, Docker has grown in popularity to become a major containerization solutions provider. While Docker is specifically written in Go, its functionality stems from the use of Linux Kernel.
Roles of Docker:
- Application deployment: Docker also has the quality of remotely deploying applications automatically without glitches.
- Helps in the development of an application and its peripheral parts by using containers.
- Docker uses the container itself to distribute applications through downloads, and help in the testing exercise.
Kurbernetes vs Docker
The Kubernetes has its fair share of advantages like the ability to support monitoring of the deployment of multiple logging in a cluster, speed and scalability. The main drawbacks, though, are compatibility with Docker CLI, difficult set-up and handling of stateless applications.
The Docker is easier to set up, enjoys a great speed and comes with a strong documentation. However, some of the disadvantages of this system are the lack of advanced monitoring, the fact that Docker runs on a Linux and no other newer OS, and its difficulty to connect to storeage.
The major cloud container solutions providers: Docker and Kubernetes complement each other in a number of ways. While Docker helps users to build, distribute and manage containers, Kubernetes is a containerization management system that can be used in Docker.