Terminal & DevOps
Docker Compose to Kubernetes Converter
Convert Docker Compose definitions into production-grade Kubernetes Deployments, Services, ConfigMaps, PersistentVolumeClaims, and Ingress manifests. Free, offline, and instant.
Quick Presets:
100% In-Browser Private
Kubernetes Manifest Settings
Production Kubernetes YAML
apiVersion: v1
kind: ConfigMap
metadata:
name: web-config
namespace: production
labels:
app: web
tier: backend
data:
NODE_ENV: production
PORT: "3000"
REDIS_HOST: redis-service
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: redis-redis-data-pvc
namespace: production
labels:
app: redis
tier: backend
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: web
namespace: production
labels:
app: web
tier: backend
spec:
replicas: 2
selector:
matchLabels:
app: web
template:
metadata:
labels:
app: web
spec:
containers:
- name: web
image: myorg/nextjs-app:v1.0.0
imagePullPolicy: IfNotPresent
ports:
- containerPort: 3000
name: port-1
envFrom:
- configMapRef:
name: web-config
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
livenessProbe:
tcpSocket:
port: 3000
initialDelaySeconds: 15
periodSeconds: 20
readinessProbe:
tcpSocket:
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: redis
namespace: production
labels:
app: redis
tier: backend
spec:
replicas: 2
selector:
matchLabels:
app: redis
template:
metadata:
labels:
app: redis
spec:
containers:
- name: redis
image: redis:7-alpine
imagePullPolicy: IfNotPresent
ports:
- containerPort: 6379
name: port-1
volumeMounts:
- name: redis-data
mountPath: /data
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
livenessProbe:
tcpSocket:
port: 6379
initialDelaySeconds: 15
periodSeconds: 20
readinessProbe:
tcpSocket:
port: 6379
initialDelaySeconds: 5
periodSeconds: 10
volumes:
- name: redis-data
persistentVolumeClaim:
claimName: redis-redis-data-pvc
---
apiVersion: v1
kind: Service
metadata:
name: web-service
namespace: production
labels:
app: web
tier: backend
spec:
type: ClusterIP
selector:
app: web
ports:
- name: port-1
port: 3000
targetPort: 3000
---
apiVersion: v1
kind: Service
metadata:
name: redis-service
namespace: production
labels:
app: redis
tier: backend
spec:
type: ClusterIP
selector:
app: redis
ports:
- name: port-1
port: 6379
targetPort: 6379
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: production-ingress
namespace: production
annotations:
kubernetes.io/ingress.class: nginx
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
tls:
- hosts:
- app.example.com
secretName: app-example-com-tls
rules:
- host: app.example.com
http:
paths:
- path: /web
pathType: Prefix
backend:
service:
name: web-service
port:
number: 3000
- path: /redis
pathType: Prefix
backend:
service:
name: redis-service
port:
number: 6379
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How to use
- 1Paste your docker-compose.yml file into the left editor, or select one of the quick presets (Next.js + Redis, FastAPI + PostgreSQL).
- 2Configure your target Kubernetes Namespace, replica count, and Service Type (ClusterIP, LoadBalancer, or NodePort).
- 3Enable Ingress generation and specify your domain host if you want public HTTP/HTTPS routing with TLS cert-manager annotations.
- 4Review the generated YAML in the right pane, switch between manifest tabs, or click "Download .yaml" to save the full production manifest.
Frequently asked questions
How does Docker Compose mapping to Kubernetes work?
Each service in your docker-compose.yml is mapped to a Kubernetes Deployment and a matching ClusterIP Service. Environment variables are grouped into a dedicated ConfigMap, port bindings are converted to containerPort and Service targetPort specs, and named volumes generate PersistentVolumeClaims (PVCs).
Is my Docker Compose YAML sent to any remote server?
No. The parsing and translation executes 100% inside your browser using client-side JavaScript. Your internal image names, ports, and environment secrets never leave your device.
Does this tool support Docker Compose v2, v3, and Compose Spec?
Yes. It parses standard Docker Compose formats, handles array and key-value environment variables, single and host-mapped port declarations, volume mounts, restart policies, and custom entrypoint commands.
Why does it generate both a Deployment and a Service?
In Kubernetes, a Deployment manages the desired state and replication of your container Pods. A Service provides a stable internal DNS name (e.g. redis-service) and virtual IP for other pods or ingress controllers to communicate with your containers.
Can I customize resource limits and health probes?
Yes. Toggle "Resource Limits" and "Health Probes" in the settings panel to automatically inject production-ready CPU/memory requests and limits, along with TCP socket liveness and readiness probes.
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