Container orchestration automates the deployment, scaling, networking, and management of containerized applications across multiple servers. Kubernetes is the dominant orchestrator, handling load balancing, rolling updates, self-healing, and service discovery.

How Container Orchestration Works

Running one container is easy. Running 100 containers across 10 servers with auto-scaling, health checks, rolling deployments, and load balancing — that's orchestration. Kubernetes is the industry standard, but simpler alternatives exist: Docker Swarm, Nomad, and managed services like AWS ECS.

Key Concepts

  • Pod — The smallest deployable unit in Kubernetes — one or more containers that share networking and storage
  • Service — An abstraction that provides stable networking and load balancing for a set of pods
  • Deployment — Manages the desired state of your application — handles rolling updates and rollbacks

Learn Container Orchestration — Top Videos

Container Orchestration Educators

Frequently Asked Questions

Do I need Kubernetes?

If you're running a small app, probably not — use a PaaS like Railway, Fly.io, or Cloud Run. Kubernetes makes sense when you have multiple services, need fine-grained scaling, or have specific infrastructure requirements.

What's the simplest way to run containers in production?

Cloud Run (Google), AWS Fargate, or Azure Container Instances. They run containers without Kubernetes complexity. You push an image, they handle scaling.