---
title: Deploy Scoring Code as a microservice
description: 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).

---

# Deploy Scoring Code as a microservice {: #deploy-scoring-code-as-a-microservice}

[Access this AI accelerator on GitHub <span style="vertical-align: sub">:material-arrow-right-circle:{.lg }</span>](https://github.com/datarobot-community/ai-accelerators/tree/main/ecosystem_integration_templates/scoring-code-as-microservice-w_docker/README.md){ .md-button }

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.
