THE PRACTICAL GUIDE · NORMANDIN SYSTEMS
Get more from Docker compose to kubernetes
Docker Compose to Kubernetes translates a Compose service description into draft Kubernetes manifests. The platforms model workloads, networking, storage, and lifecycle differently. The converter can help expose the corresponding building blocks, but production manifests require decisions about resource limits, health checks, secrets, storage classes, and cluster policies that a Compose example may not contain. Configuration generators and converters reduce repetitive editing, but the destination runtime still determines which settings are valid. Keep the source configuration and review every generated section before use. Names, ports, paths, credentials, and version-specific options deserve particular attention. A successful conversion means a document was produced; it does not prove that the service will start or that the resulting deployment matches your requirements. Validate a draft in a development environment and keep a clear record of the settings you changed.
Guide updated October 13, 2026
How to use this tool
- Begin with a minimal configuration or example using placeholder credentials. Keep an unchanged source copy so you can compare individual settings.
- Paste a small Compose example, generate manifests, and identify which output objects correspond to each source service.
- Review the example below and compare its expected behavior with a small sample of your own input before continuing.
- Review the generated text and validate it with the intended runtime or configuration checker before using it in an existing deployment.
SEE IT IN PRACTICE
A worked example
A Compose web service exposing container port 80
Draft Kubernetes workload and networking definitions for the service
The important review is the mapping from a container image and port to Kubernetes objects, rather than expecting the YAML to be identical.
Translate intent before accepting object structure
A Compose service's image and environment often map straightforwardly to a container specification, while exposure, storage, and dependencies require more interpretation. A local host port is not automatically the desired cluster service type, and a host bind mount may be inappropriate on arbitrary nodes. Identify the purpose of each setting and then inspect the generated object's kind, metadata, selectors, and pod template. Matching names alone is not enough: a Service selector must actually match the workload labels for traffic to reach the intended pods.
Production concerns absent from a local example
A small Compose example may say nothing about readiness, liveness, resource requests, resource limits, disruption handling, or secret management. The absence of those details in the source does not make them unnecessary in a cluster. Use the generated manifests as a migration checklist and add the decisions required by your environment. Test in a development namespace with representative storage and networking. Confirm both that pods start and that the application remains reachable through the intended service path, since those are separate acceptance conditions.
When this tool is useful
- Create a first migration draft from Compose
- Learn how service definitions map to cluster objects
- Review application assumptions before a Kubernetes move
Tips for a better result
- Check image names, ports, service selectors, storage, secrets, and resource settings, then validate in a development namespace.
- Check names and environment-specific values one by one. A syntactically valid setting can still reference the wrong host, expose an unintended port, or point to an absent local directory.
- Keep the source and the settings used for this result together. That makes a later comparison or correction easier, especially when another person needs to reproduce the same outcome.
Frequently asked questions
Do local Compose assumptions transfer to a cluster?
Bind mounts, dependency ordering, and local-network assumptions may not transfer to a cluster. Generated manifests need adaptation to the actual Kubernetes environment.
Does this tool apply the configuration for me?
The workspace prepares or inspects configuration text. Creating the text is separate from applying it with your own runtime or deployment process. Review the output and use the appropriate validation command before changing a running service.
Why should I compare the source and generated versions?
Different formats do not always express the same concepts. Defaults, unsupported settings, and platform-specific features may require manual decisions. Comparing each original setting with the output helps reveal omissions before they cause a deployment problem.
What happens to the information I enter?
The utility processes your input in this browser. Some tools retain field values in browser storage or the URL; avoid entering secrets in shareable fields. Page and asset requests still go to the hosting provider. Read the privacy and offline-use notes for details.