What are the Difference Between Docker and Kubernetes

 Docker and Kubernetes can look like similar technologies; they both assist you to run applications within Linux containers. If you look a little closer, you will find that the technologies operate at different layers of the stack and could even be used together.

Understanding both Dockerand Kubernetes is vital if you intend to build and run a contemporary cloud infrastructure. Let's have a look to see how they both match the world of Linux containers, and how you need to use them when architecting your own applications.

Containers - A Quick Intro

At their core, containers really are a way of packaging software. What makes them special is that when you run a container, you realize exactly how it'll run - it's predictable, repeatable and immutable. You will find no unexpected errors once you move it to a fresh machine, or between environments. Your entire application's code, libraries, and dependencies are packed together in the container as an immutable artifact. You can think of running a container like running a virtual machine, minus the overhead of spinning up a complete operating system. Because of this, bundling your application in a container vs. Docker and Kubernetes a virtual machine will improve startup time significantly.The above characteristics make containers an incredible tool and essential building block in modern cloud architecture. While the pushes towards building microservice architectures, containers help facilitate quick elasticity and separate of concerns. And although some may not even be building microservices, traditional monoliths could be containerized and reap a number of the aforementioned benefits.

This all sounds very nice, but how will you actually build a container?

Build and Deploy Containers with Docker

Docker can help you create and deploy software within containers. It's an open source number of tools that assist you to “Build, Ship, and Run any App, Anywhere .Yes, it really is as magic because it sounds. Docker and Kubernetes

With Docker, you develop a special file called a Dockerfile. Dockerfiles outline a build method, which, when fed to the ‘docker build'command, will produce an immutable docker image. You can contemplate this as a snapshot of one's application  ready to be brought you’re at any time. When you need to start it up, just utilize the ‘docker run'command to operate it anywhere the docker daemon is supported and running. It could be in your laptop, your production server in the cloud, or on a raspberry pi. Regardless of where your image is running, it'll behave exactly the same way.

Docker additionally provides a cloud-based repository referred to as stevedore Hub. You can consider it like GitHub for stevedore pictures. You can use Docker Hub to generate, store, and distribute the container images you build.

Manage Containers with Kubernetes

Once you've recovered from the excitement of spinning up your first few Docker containers, you'll recognize that something is missing. If you intend to run multiple containers across multiple machines which you'll have to do if you're using micro services   there's still a lot of work to do.

You need to start the proper containers at the proper time, figure out how they could talk to one another, handle storage considerations, and handle failed containers or hardware. Doing all this manually will be a nightmare. Luckily, that's where Kubernetes comes in. Docker and Kubernetes

Kubernetes is definitely an open source container orchestration platform, allowing large numbers of containers to come together in harmony, reducing operational burden. It will help with things such as..

Running containers across a variety of machines

Scaling up or down by the addition of or removing containers when demand changes

Keeping storage in line with multiple instances of an application

Distributing load involving the containers

Launching new containers on different machines if something fails