Kubernetes and Docker Comparison | What Does It Really Mean?


“Kubernetes VS Docker ” is a terminology you hear more nowadays as Kubernetes has become increasingly popular as a container organizing solution.

However, “Kubernetes VS Docker is also a bit of a misleading statement. Docker and Kubernetes are not direct competitors. Docker is a containerization platform and a container orchestrator for container platforms such as Kubernetes, Docker.

This blog will cover some of the common confusion about Kubernetes and Docker, and say “Docker vs. Talking about “Kubernetes”, we aim to explain that people understand what they really mean.

Rise of Containerization and Docker

It is not possible to talk about Docker without first exploring the containers. Containers solve a critical problem in application development life. Developers are working on their local development environments when writing code. This is where problems arise when they are ready to move this code into production. The code that works perfectly on their machines does not work in production. The reasons for this are diverse; different operating system, different dependencies, different libraries.

Containers solved this critical portability issue by allowing you to separate code from the underlying infrastructure on which it works. Developers can package their applications in a small container image, including all the pods and libraries needed to function properly. In production, this container can be operated on any computer with a collection platform.

Advantages of Containers

In addition to solving the biggest portability problem, containers and container platforms offer many advantages over traditional virtualization.

Containers take up very little space. The container only needs to be implemented and a description of all the compartments and libraries that need to be operated. Unlike VMs with a full copy of the guest operating system, container isolation is done at the kernel level without the need for a guest operating system. In addition, libraries can be between containers, thus saving space by eliminating the need to have 10 copies of the same library on a server. If I have 3 applications running nodes and express, I don't need to have 3 nodes and express examples, these applications can share these pods and libraries. Allowing applications to be encapsulated in standalone environments allows for faster deployments, closer equality between development environments, and infinite scalability.

What is Docker?

Docker is currently the most popular container platform. Docker was released at the right time and is an  open source from the start, which led to current market domination. 30% of businesses currently use Docker in AWS environments and this number continues to increase.

When most people talk about Docker, it's talking about runtime Docker Engine, which allows you to create and run containers. However, before running a Docker container, these must be created starting with a Docker File. The Docker File defines everything needed to run the image, including the operating system's network features and file locations. You now have a Docker file, you can create a Docker Image, a portable, static component that runs in Docker Engine. If you don't want to start from scratch, Docker even has a service called Docker Hub, where you can store and share images.

Need for Orchestration Systems

While Docker provided an open standard for packaging and distributing containerized applications, a new problem arose. How are all these containers coordinated and planned? How to seamlessly upgrade an app without service interruption? How do you monitor the health of an app, know when something went wrong, and how to restart it smoothly?

Solutions for organizing containers have appeared recently. Kubernetes, Mesos and Docker Swarm are some of the most popular options to provide an abstraction to make a series of machines act like a single large machine that is vital in a large-scale environment.

Many people say, “Kubernetes etc. When we talk about "Docker", what we actually mean is "Kubernetes vs Docker Swarm ”. The second is Docker's own native clustering solution for Docker containers, which has the advantage of being tightly integrated into the Docker ecosystem and uses its own API. Like most timers, Docker Swarm provides a way to manage a large number of containers spread across server clusters. The filtering and timing system allows the selection of the most suitable nodes in a cluster to dispense containers.

Kubernetes is a container orchestrator developed by Google, now open source, donated to CNCF. Google has the advantage of benefiting from years of expertise in container management. It is a comprehensive system for automating the distribution, timing and scaling of container applications and supports many container tools such as Docker.

For now, Kubernetes is the market leader and a standardized tool for organizing containers and distributing distributed applications. Kubernetes can be run in a public cloud service or on-premises, is highly modular, open source and has a vibrant community. Companies of all sizes are investing in this, and many cloud providers offer Kubernetes as a service. Sumo Logic supports all editing technologies, including Kubernetes supported applications.

You can run in coordination with Docker by training Kubernetes. Thanks to the ease of use, your companies are even stronger.

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