Kompose has limitations; here are proven alternatives and workflows for reliable Docker Compose to Kubernetes manifest conversion.

Diagnosis: Why Kompose Fails in Production

Kompose often over-simplifies, misinterprets Docker networking, or generates non-idempotent manifests. Common failures include:

• Incorrect volume mounts for stateful workloads
• Missing environment variables or secrets
• Improper resource limits for memory/cpu
• Broken service discovery in multi-tier apps

Actionable Workflow

1. Dry-run with kubectl:

   kubectl create -f docker-compose.yaml --dry-run=client -o yaml  
   

   This avoids installing Kompose and leverages native Kubernetes tooling.

2. Refine outputs:

   • Remove auto-generated names, enforce naming conventions
   • Add explicit resource requests/limits
   • Fix volume claims for persistent data

3. Validate with kubeval:

   kubeval -f generated-manifests.yaml  
   

   Catches syntax and schema errors early.

4. Deploy incrementally:
   Use kubectl apply -f <dir> with per-component subdirectories to isolate failures.

Tooling Comparison

Policy Example: Manifest Generation Standards

Adopt this policy for team consistency:

1. For stateless apps: Use kubectl create --dry-run + manual cleanup.
2. For stateful apps: Use Helm charts with predefined resource quotas.
3. For CI/CD pipelines: Integrate Kpt for versioned, reusable manifests.

Tradeoffs and Caveats

• Speed vs. Accuracy: kubectl is fast but error-prone; Helm/Kpt take more setup but yield production-ready manifests.
• Platform Lock-in: Helm charts and Kpt configurations may tie you to specific toolchains.
• Docker Compose Compatibility: Some Docker features (e.g., depends_on with health checks) have no direct Kubernetes equivalent.

Troubleshooting Common Failures

• Image Pull Errors:
  Verify image names and tags in generated manifests. Use imagePullPolicy: IfNotPresent for private registries.
• Crashing Pods:
  Check resource limits with kubectl describe pod <name> and compare to node capacity.
• Network Issues:
  Use kubectl get services and verify endpoints are populated. Test connectivity with curl or nslookup.

Final Recommendation

For most teams, combining kubectl dry-runs with manual adjustments or Helm charts strikes the best balance between speed and reliability. Avoid Kompose unless you’re prototyping; invest in Helm for production workloads. Always validate manifests with kubeval and test in a staging cluster before deploying to production.

Source thread: Is there a tool that is better than Kompose for converting Docker compose files into manifests?