Kubernetes, without confusing Jargon
Remember those containers we created with docker one container easy to manage but imagine your application is running hundreds of them, some can crush, traffics increases and you need more containers and they're are running across different computers. So who manages all of these, that's where Kubernetes comes in. Here is the thing, Docker is great at packaging and running containers BUT docker…
Docker simplifies the creation of individual containers, but managing hundreds of them running across multiple computers poses a challenge. This is where Kubernetes steps in, offering automated management of these containers. While Docker packages and runs containers, it doesn't decide which computer hosts them or handle scaling when traffic surges.
Enter Kubernetes, which manages multiple nodes working in unison. A node is simply a computer, whether a physical server or a virtual machine in the cloud, that Kubernetes can utilize. Kubernetes packages your container into a pod, the smallest deployable unit it manages. Most pods contain a single container, but multiple containers can reside within a pod if they need to work closely together.
Each node can run several pods simultaneously, and a cluster is a group of nodes managed by Kubernetes. If a node fails, Kubernetes promptly replaces the pod and executes it on another node. The cluster comprises nodes, which provide resources, pods that run those resources, and containers within those pods. Kubernetes continually monitors application state, automatically creating replacement pods if one crashes.
When traffic increases, Kubernetes can scale by adding more pods, ranging from three to hundreds, depending on the application's needs. A scheduler decides which node each new pod should run on, balancing workload across the cluster. Thus, picture a Kubernetes cluster with numerous nodes, each hosting multiple pods, all running your application containers.
Docker focuses on packaging and running containers, while Kubernetes takes over, managing them at scale.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
