Does Ruby on Rails Work With Kubernetes?

Fully CompatibleLast verified: 2026-02-20

Ruby on Rails runs excellently on Kubernetes with proper containerization and configuration management.

Quick Facts

Compatibility
full
Setup Difficulty
Moderate
Official Integration
No — community maintained
Confidence
high
Minimum Versions
Ruby on Rails: 6.0
Kubernetes: 1.19

How Ruby on Rails Works With Kubernetes

Rails applications deploy to Kubernetes by packaging the entire framework stack into Docker containers. The stateless nature of modern Rails (with external databases and caching layers) aligns perfectly with Kubernetes's container orchestration model. Developers create a Dockerfile that installs Ruby, gems, and the Rails application, then Kubernetes manages pod scheduling, scaling, and rollouts. Rails' asset pipeline and database migrations require careful consideration—precompilation happens in the container build stage, and migrations run as init containers or Jobs before deployment. The developer experience is smooth: you write Rails code normally, containerize it once, and Kubernetes handles the operational complexity of multiple replicas, load balancing, and self-healing. Most production Rails deployments on Kubernetes use Sidekiq or similar for background jobs, which scales naturally with pod replicas.

Best Use Cases

Microservices architecture where each Rails service handles a specific domain
Multi-tenant SaaS platforms requiring dynamic scaling based on tenant load
CI/CD pipelines with automatic blue-green deployments and canary releases
High-availability production systems requiring zero-downtime updates and self-healing

Dockerfile and Kubernetes Deployment for Rails

bash
docker build -t myapp:latest . && kubectl apply -f deployment.yaml
bash
# Dockerfile
FROM ruby:3.2-slim as builder
WORKDIR /app
COPY Gemfile Gemfile.lock ./
RUN bundle install --without development test

FROM ruby:3.2-slim
WORKDIR /app
COPY --from=builder /usr/local/bundle /usr/local/bundle
COPY . .
RUN bundle exec rake assets:precompile
EXPOSE 3000
CMD ["bundle", "exec", "rails", "server", "-b", "0.0.0.0"]

---
# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: rails-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: rails-app
  template:
    metadata:
      labels:
        app: rails-app
    spec:
      containers:
      - name: rails
        image: myapp:latest
        ports:
        - containerPort: 3000
        env:
        - name: RAILS_ENV
          value: "production"
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: db-secret
              key: url
        livenessProbe:
          httpGet:
            path: /health
            port: 3000
          initialDelaySeconds: 30
          periodSeconds: 10

Known Issues & Gotchas

critical

Database connection pooling exhaustion when horizontal pod autoscaling creates many replicas

Fix: Use PgBouncer or similar connection pooler as a sidecar, or implement connection pool size limits in database.yml based on expected replica count

warning

Rails tmp/ and log/ directories not persisting across pod restarts, causing disk space issues in containers

Fix: Configure ephemeral volumes or ensure logs stream to stdout/stderr for container logging drivers to capture

warning

Secret management complexity with database passwords and API keys in environment variables

Fix: Use Kubernetes Secrets with sealed-secrets or external-secrets operator rather than storing in ConfigMaps

info

Asset precompilation in multi-stage builds increases image size significantly

Fix: Use multi-stage Docker builds to separate build dependencies from runtime, or serve assets from CDN

Alternatives

  • Django + Kubernetes: Python alternative with similar containerization patterns but heavier framework
  • Node.js/Express + Kubernetes: Lighter alternative with better resource efficiency for I/O-bound workloads
  • Rails on managed services (Heroku, Cloud Run): Skip Kubernetes complexity but lose portability and control

Resources

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