It’s a set of platform-as-a-service products designed to solve the many challenges created by the growing DevOps trend. Consider this before and after scenario:īefore Docker: a developer sends code to a tester but it doesn’t run on the tester’s system due to various dependency issues, however it works fine on the developer’s end.Īfter Docker: As the tester and developer now have the same system running on Docker container, they both are able to run the application in the Docker environment without having to face differences in dependencies issue as before.Ī little more about Docker and containers:ĭocker is a containerization platform that packages your application and all its dependencies together in the form of a docker container. If you’re already familiar with Docker and Kubernetes you can skip straight to the “Getting started” sectionsĪ Real Life Scenario: Docker makes it really easy and simple for different people working on a project to run their application in the same environment without any dependencies or OS issue involved as Docker provides its own OS. The difference between Docker and Kubernetes What is Kubernetes and why should I use it? What is Docker and Docker containers and why should I use them? Whether you’re a developer, data scientist, product manager, or something else, there are two tools that you’ll want to become very comfortable with: Docker and Kubernetes.ĭocker, the containerization platform, and Kubernetes, the container orchestration platform are both fundamental tools that are crucial to furthering your career. When bringing up these trends it’s hard to ignore some of the big names, like Kubernetes and Docker, which have for lack of a better word, revolutionized the way we develop and deploy software at scale. As businesses migrate their infrastructure and architecture to reflect a cloud-native, data-driven era, we’ve seen a rise in the topics of cloud computing, containerization, and container orchestration.
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