Think of a sandbox or virtual machine with specified variables (OS type, Compute, et al.). This means you’d not get peak performance 100% of the time… Unless you create a container to abstract the application from the physical location it lives. Ordinarily, such an environment usually depends on the racks it resides, network variables, and other external infrastructure specifications. Let’s say you wanted to deploy an application in the perfect environment for peak performance. Call it the foundation for understanding both technologies before we dive into each of them. To achieve this promise, it only makes sense to define the term container in Kubernetes (K8) and Docker’s context. In this post, we will exhaust the fork down to application areas for which either side fits perfectly. A common crossroad for developers (especially when just starting) concerning containerization is the question of Kubernetes vs Docker.
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