01Introduction
The Docker Compose vs Kubernetes debate is one of the most common questions in the self-hosting community. Both are container orchestration tools, but they serve different scales and use cases. This guide helps you choose the right tool for your needs.
02Docker Compose: Simple and Effective
Docker Compose is designed for single-host deployments. It's declarative, easy to learn, and requires minimal infrastructure. For home labs and small servers, it's often the perfect choice.
1# A complete stack in one simple file2services: 3 app: 4 image: myapp:1.05 ports: 6 - "8080:80"7 restart: unless-stopped89 db: 10 image: postgres:1511 volumes: 12 - db_data:/var/lib/postgresql/data13 restart: unless-stopped1415volumes: 16 db_data: 1718# Deploy with: docker compose up -d19# That's it. No cluster, no control plane, no complexity.Docker Compose can handle 50+ services on a single decent server. Most home labs will never outgrow it.
03Kubernetes: Enterprise-Grade Orchestration
Kubernetes excels at multi-node deployments, automatic scaling, and high availability. It's designed for teams running production workloads across many servers. The learning curve is steep, and the operational overhead is significant.
1# Same app in Kubernetes - much more verbose2apiVersion: apps/v13kind: Deployment4metadata: 5 name: myapp6spec: 7 replicas: 38 selector: 9 matchLabels: 10 app: myapp11 template: 12 metadata: 13 labels: 14 app: myapp15 spec: 16 containers: 17 - name: myapp18 image: myapp:1.019 ports: 20 - containerPort: 8021---22apiVersion: v123kind: Service24metadata: 25 name: myapp26spec: 27 selector: 28 app: myapp29 ports: 30 - port: 8031 targetPort: 80Running Kubernetes at home means maintaining etcd, the API server, schedulers, and more. A minimal k3s cluster still needs regular updates and monitoring.
04Feature Comparison
Here's a practical comparison for self-hosting scenarios:
**Learning Curve**: Compose takes hours to learn, Kubernetes takes weeks to months.
**Resource Usage**: Compose has near-zero overhead. Kubernetes control plane needs 2-4GB RAM minimum.
**High Availability**: Compose is single-node. Kubernetes provides automatic failover.
**Scaling**: Compose scales manually with replicas. Kubernetes auto-scales based on metrics.
**Complexity**: Compose has 1 config file. Kubernetes often needs dozens of YAML files.
**Updates**: Compose uses docker compose pull && up. Kubernetes has rolling updates built-in.
05When to Use Docker Compose
Choose Docker Compose when:
- Running on a single server (home lab, VPS, dedicated server)
- You want simplicity and low maintenance
- Your uptime requirements allow for occasional restarts
- You're the only person managing the infrastructure
- You don't need automatic horizontal scaling
90% of self-hosters will be perfectly served by Docker Compose. Don't let FOMO push you to Kubernetes.
06When to Use Kubernetes
Consider Kubernetes when:
- You have multiple servers and need automatic failover
- You require zero-downtime deployments
- Your team needs fine-grained access control (RBAC)
- You're already running Kubernetes at work and want practice
- You genuinely need horizontal auto-scaling
07The Middle Ground: Docker Swarm
Docker Swarm offers multi-node orchestration with a Docker Compose-like experience. It's simpler than Kubernetes but provides clustering. However, its future is uncertain as Docker focuses on other projects.
1# Initialize Swarm on the first node2docker swarm init34# Join other nodes5docker swarm join --token <token> <manager-ip>:237767# Deploy a stack (uses compose file syntax)8docker stack deploy -c docker-compose.yml mystack08Our Recommendation
For home and small server self-hosting, start with Docker Compose. It will handle more than you expect. If you genuinely hit its limits—multiple servers, need for auto-failover, or complex team access requirements—then consider Kubernetes. Don't add complexity before you need it.
Many successful self-hosters run hundreds of containers on a single server with Docker Compose. Simple doesn't mean limited.