Can I run Docker Compose in production?

Yes, Docker documents Compose as usable in production. It is a good fit for one host. It does not place containers across machines or replace them on another node if the host fails.

Is Kubernetes overkill for a small app?

Often, yes. A single service with one replica does not need a scheduler. The case for Kubernetes starts with multiple nodes, several services that must be deployed the same way, or a need for self-healing across machines.

What replaces depends_on in Kubernetes?

An init container runs to completion before the app containers start, so it can wait for a dependency. Readiness probes handle ongoing dependency health.

Does Kubernetes replace Docker Compose?

It replaces the deployment role of Compose in a cluster. Compose remains useful for local development, because one command starts a local stack without a cluster.

Kubernetes comparison

Docker Compose vs Kubernetes: Which One to Use and When

Docker Compose runs a multi-container app from one YAML file on one Docker host. Kubernetes runs containers across a cluster of nodes and keeps them at a declared state, with rolling updates, service discovery and restarts. Use Compose for local development and a single host you control. Move to Kubernetes when you need several nodes, scheduled placement, or the Kubernetes API and ecosystem.

By Muhammad Soliman, Founder at SeaGit

Published 11 October 2026 · Updated 11 October 2026

Key takeaways

Compose defines services, networks and volumes in one file and starts them with one command. Its scope is the Docker host it runs on.
Kubernetes schedules pods onto nodes, replaces failed pods, and rolls out new versions across replicas.
Compose works in production as well as development, according to Docker docs. The difference is operational: who places the containers and who replaces them when they fail.
Most Compose services map to a Deployment plus a Service, not to a single Kubernetes object.

What each one runs on

The Docker Compose page describes Compose as a tool for defining and running multi-container applications, with services, networks and volumes in a single YAML configuration. It also says Compose works in production, staging, development, testing and CI. What it does not do is place containers on a fleet of machines. A Compose stack lives on the Docker engine that runs it.

Kubernetes is a control plane that places pods on nodes, watches them, and reconciles them to the desired state. The unit it manages is the pod, and it describes that unit through objects such as Deployments, Services and ConfigMaps.

Side by side

Question	Docker Compose	Kubernetes
Where containers run	One Docker host	Many nodes in a cluster
Replace a crashed container	Restart policy on that host	Controller creates a new pod, possibly on another node
Rolling update	Recreate services; you script the order	Deployment strategy with maxSurge and maxUnavailable
Service discovery	Service names on a Compose network	Service objects and cluster DNS
Learning and operating cost	Low; one file and one host	Higher; control plane, ingress, storage and upgrades to run

The table shows the honest trade. Kubernetes handles placement and failure across machines, and you pay for that with more moving parts. Compose is simpler, and it stops being enough when a single host is the single point of failure.

Mapping a Compose service to Kubernetes objects

A Compose service becomes a Deployment for the containers and a Service for the ports. Volumes become PersistentVolumeClaims. Environment files become ConfigMaps or Secrets. The official init containers page is the Kubernetes answer to depends_on when a service must wait for a prerequisite to finish before it starts.

yaml

# docker-compose.yml fragment
services:
  api:
    image: registry.example.com/api:1.4.2
    ports:
      - "8080:8080"
    environment:
      LOG_LEVEL: info
    depends_on:
      - db

# Kubernetes equivalent (abridged)
apiVersion: apps/v1
kind: Deployment
metadata:
  name: api
spec:
  replicas: 2
  selector:
    matchLabels: { app: api }
  template:
    metadata:
      labels: { app: api }
    spec:
      initContainers:
      - name: wait-for-db
        image: busybox:1.36
        command: ["sh", "-c", "until nc -z db 5432; do sleep 2; done"]
      containers:
      - name: api
        image: registry.example.com/api:1.4.2
        ports:
        - containerPort: 8080
        env:
        - name: LOG_LEVEL
          value: info
---
apiVersion: v1
kind: Service
metadata:
  name: api
spec:
  selector:
    app: api
  ports:
  - port: 8080
    targetPort: 8080

depends_on only orders start-up on one host. The init container waits for the database port, which is a closer match. Use a readiness probe for ongoing health.

There is a conversion helper on this site that reads a Compose file and drafts the equivalent manifests. Treat its output as a starting point: it does not know about your secrets, your storage class or your ingress.

Decision rule: which one for which job

Local development and CI

Compose wins. One command, fast feedback, and no cluster to keep alive.

One server, small traffic, one team

Compose is a reasonable production tool here if you accept that one host failing means downtime. Put a restart policy on every service and back up the volumes.

Several nodes, rolling deploys, or self-healing

Kubernetes. The cluster replaces failed pods and rolls out a change without taking the service down, which a single Compose host cannot do.

Need to survive the loss of a machine? Kubernetes, or at least two hosts with a load balancer in front of Compose.
Need a team to deploy to several environments the same way? Kubernetes gives you one object model for all of them.
Need the smallest thing that works? Compose, and revisit when the host becomes the bottleneck.