# Industrial DevOps

## TL;DR

This paper introduces Industrial DevOps, a methodology for integrating DevOps practices into industrial production to enhance flexibility, observation, and development, demonstrated through energy management and predictive maintenance scenarios.

## Contribution

It proposes the Industrial DevOps approach, including a software platform and role model, to facilitate continuous integration and development in industrial environments.

## Key findings

- Successful application in energy management scenario
- Effective integration of production systems with DevOps practices
- Improved agility and responsiveness in industrial processes

## Abstract

The visions and ideas of Industry 4.0 require a profound interconnection of machines, plants, and IT systems in industrial production environments. This significantly increases the importance of software, which is coincidentally one of the main obstacles to the introduction of Industry 4.0. Lack of experience and knowledge, high investment and maintenance costs, as well as uncertainty about future developments cause many small and medium-sized enterprises hesitating to adopt Industry 4.0 solutions. We propose Industrial DevOps as an approach to introduce methods and culture of DevOps into industrial production environments. The fundamental concept of this approach is a continuous process of operation, observation, and development of the entire production environment. This way, all stakeholders, systems, and data can thus be integrated via incremental steps and adjustments can be made quickly. Furthermore, we present the Titan software platform accompanied by a role model for integrating production environments with Industrial DevOps. In two initial industrial application scenarios, we address the challenges of energy management and predictive maintenance with the methods, organizational structures, and tools of Industrial DevOps.