# The Essential Deployment Metamodel: A Systematic Review of Deployment Automation Technologies

arXiv: https://arxiv.org/abs/1905.07314 · HTML: https://mlsanity.com/paper/1905.07314/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 May 2019.

## Built on by (most cited first, 1 of 1)

- [Automating the Training and Deployment of Models in MLOps by Integrating Systems with Machine Learning](https://mlsanity.com/paper/2405.09819/) (2024)

## Abstract (arXiv)

In recent years, a plethora of deployment technologies evolved, many following a declarative approach to automate the delivery of software components. Even if such technologies share the same purpose, they differ in features and supported mechanisms. Thus, it is difficult to compare and select deployment automation technologies as well as to migrate from one technology to another. Hence, we present a systematic review of declarative deployment technologies and introduce the Essential Deployment Metamodel (EDMM) by extracting the essential parts that are supported by all these technologies. Thereby, the EDMM enables a common understanding of declarative deployment models by facilitating the comparison, selection, and migration of technologies. Moreover, it provides a technology-independent baseline for further deployment automation research.