Using Containers With Docker and Kubernetes
Containers package applications and their dependencies into small, portable units that run the same way on a developer laptop and in production. Docker popularized this model by making containers easy to build and run with simple commands.
When you need to run many containers across multiple machines, an orchestrator such as Kubernetes steps in. It decides where each container should run, restarts them if they fail and exposes services to the network.
For most teams, the first step is to containerize existing applications with Docker, then gradually move to managed Kubernetes services when scale and reliability demands increase.
