# Scoring Code microservice

> Scoring Code microservice - Follow a step-by-step procedure to embed Scoring Code in a microservice
> and prepare it as the Docker container for a deployment on customer infrastructure (it can be self-
> or hyperscaler-managed K8s).

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.575951+00:00` (UTC).

## Primary page

- [Scoring Code microservice](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/custom-model-dev/sc-micro.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [Custom model development](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/custom-model-dev/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/tree/main/ecosystem_integration_templates/scoring-code-as-microservice-w_docker/README.md)

This accelerator guides through the step-by-step procedure that makes it possible to embed scoring code in the microservice and to prepare it as the Docker container for the deployment on the customer infrastructure (it can be self or hyperscaler-managed K8s). The K8s configuration and deployment on K8s are out of scope. The accelerator also includes an example Maven project with the Java code.