TL;DR

Docker is a container runtime: it packages an application into an image and runs it on one machine. Kubernetes (K8s) is a container orchestration platform: it schedules, scales, heals, and load-balances containers across a cluster of machines. For local dev and small projects, Docker Compose is enough; adopt K8s when you need multi-node high availability, autoscaling, or self-healing.

Comparison

AspectDockerKubernetes
RoleContainer runtimeContainer orchestration
ScopeSingle machineA cluster (many machines)
PackagingDockerfile → imageReuses images; defines Pods/Deployments
AutoscalingNoYes (HPA by CPU/custom metrics)
Self-healingNoRestarts/reschedules failed Pods
Service discoveryManual port mappingService + Ingress + DNS
Rolling updatesManualBuilt-in rollout and rollback
Learning curveLowHigh (networking, storage, RBAC)
Best forDev, single host, small projectsProduction clusters, microservices

Which one when

FAQ

Are Docker and Kubernetes alternatives?

No. Docker runs containers; Kubernetes orchestrates them. K8s nodes still use a container runtime (typically containerd) to run containers.

What's the difference between Docker Compose and Kubernetes?

Compose runs multiple containers on one host from a compose file; it has no autoscaling, self-healing, or cross-node scheduling. K8s provides those capabilities across a cluster.

How many machines do I need to learn Kubernetes?

For learning, minikube or k3s on a single machine works. A production HA cluster typically uses 3 control-plane nodes (odd count for etcd quorum) plus at least 2 workers.

Sources

最后更新:2026-08-04