Do we need Kubernetes or is Docker Compose enough?

If you need auto-scaling, zero-downtime deployments, self-healing, or multi-node deployment, Kubernetes is the right choice. For single-server dev/staging, Compose may suffice.

Which managed Kubernetes service should we use?

We recommend based on your cloud provider: EKS for AWS, GKE for Google Cloud, AKS for Azure. GKE offers the smoothest experience; EKS has the largest ecosystem.

How do you handle secrets in Kubernetes?

We use Kubernetes Secrets with encryption at rest, External Secrets Operator for syncing from AWS Secrets Manager or Vault, and SOPS for Git-stored encrypted secrets.

Migrate from Docker Compose to Kubernetes

Graduate from Docker Compose to Kubernetes for auto-scaling, rolling deployments, self-healing, and production-grade container orchestration.

Migration: Docker Compose to Kubernetes

From Docker Compose to Kubernetes

Why Migrate

Auto-Scaling: Kubernetes scales pods up and down based on CPU, memory, or custom metrics. Docker Compose requires manual scaling with no built-in autoscaler.
Self-Healing: Kubernetes automatically restarts failed containers, reschedules pods on healthy nodes, and performs readiness checks — eliminating manual intervention.
Rolling Deployments: Kubernetes performs zero-downtime rolling updates with health checks, automatic rollback on failure, and canary deployment strategies.

Migration Roadmap

Docker Compose Analysis (1–2 weeks): Analyze docker-compose.yml services, volumes, networks, and environment variables. Design Kubernetes manifests and Helm charts.
- Service architecture mapping
- Kubernetes resource design
- Helm chart structure
- Persistent volume plan
Kubernetes Manifest Creation (2–4 weeks): Convert Docker Compose services to Kubernetes Deployments, Services, ConfigMaps, Secrets, and Ingress resources. Implement health checks.
- Kubernetes manifests or Helm charts
- Ingress and TLS configuration
- Health check and readiness probes
- Horizontal Pod Autoscaler rules
Cluster Deployment & Validation (1–3 weeks): Deploy to a managed Kubernetes cluster (EKS, GKE, or AKS), run load testing, validate auto-scaling, and execute production cutover.
- Production cluster deployment
- Load test results
- Monitoring and alerting setup
- Runbook documentation

Risks & Mitigation

Kubernetes complexity overwhelms the team: We use managed Kubernetes (EKS, GKE, AKS) to eliminate cluster management, and Helm charts with clear documentation to simplify day-2 operations.
Persistent storage migration from Docker volumes: We map Docker volumes to Kubernetes PersistentVolumeClaims with appropriate StorageClasses, and migrate data during a maintenance window with integrity validation.

Estimated Scope

Hours: 100–200 | Cost: $200–$400 | Timeline: 4–9 weeks

Frequently Asked Questions

Do we need Kubernetes or is Docker Compose enough?: If you need auto-scaling, zero-downtime deployments, self-healing, or multi-node deployment, Kubernetes is the right choice. For single-server dev/staging, Compose may suffice.
Which managed Kubernetes service should we use?: We recommend based on your cloud provider: EKS for AWS, GKE for Google Cloud, AKS for Azure. GKE offers the smoothest experience; EKS has the largest ecosystem.
How do you handle secrets in Kubernetes?: We use Kubernetes Secrets with encryption at rest, External Secrets Operator for syncing from AWS Secrets Manager or Vault, and SOPS for Git-stored encrypted secrets.