docker.recipes
Security10 min read

Docker Compose vs Kubernetes for Home and Small Servers

Understand when to use Docker Compose and when Kubernetes makes sense for your self-hosting needs.

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 file
2services:
3 app:
4 image: myapp:1.0
5 ports:
6 - "8080:80"
7 restart: unless-stopped
8
9 db:
10 image: postgres:15
11 volumes:
12 - db_data:/var/lib/postgresql/data
13 restart: unless-stopped
14
15volumes:
16 db_data:
17
18# Deploy with: docker compose up -d
19# 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 verbose
2apiVersion: apps/v1
3kind: Deployment
4metadata:
5 name: myapp
6spec:
7 replicas: 3
8 selector:
9 matchLabels:
10 app: myapp
11 template:
12 metadata:
13 labels:
14 app: myapp
15 spec:
16 containers:
17 - name: myapp
18 image: myapp:1.0
19 ports:
20 - containerPort: 80
21---
22apiVersion: v1
23kind: Service
24metadata:
25 name: myapp
26spec:
27 selector:
28 app: myapp
29 ports:
30 - port: 80
31 targetPort: 80

Running 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 node
2docker swarm init
3
4# Join other nodes
5docker swarm join --token <token> <manager-ip>:2377
6
7# Deploy a stack (uses compose file syntax)
8docker stack deploy -c docker-compose.yml mystack

08Our 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.