Applied Industrial DevOps
Practical Guidance for the Enterprise
As DevOps continues to challenge the status quo and improve business outcomes for software systems, many of the world’s larger enterprises are working to identify how to scale these practices across large, complex systems composed of hardware, firmware, and software.
In this follow up to the 2018 paper <i>Industrial DevOps</i>, we take the original guidance eight supporting principles, and the subsequent definitions one step further, by applying the principles in the context of a hypothetical example using autonomous cars and then relating it back to those governing principles.
Our intent is to help readers better understand the applicability and need for Industrial DevOps in different solutions, beyond those that are strictly software
What's inside
- Debunks Myth — This paper debunks the myth that DevOps-style rapid iteration and improved flow only apply to software systems, not software + hardware systems.
- Expert Authors — This paper is written by experienced practitioners who have worked developing modern cyber-physical systems.
- Clear Guidance — Provides eight recommendations (principles) to bring DevOps principles and practices into complex cyber-physical systems.
- Case Study — This paper illustrates its theories through a clear case study of a fiction company building cyber-physical systems in the automotive industry.
- Publication Date
- 2019
- Pages
- 30
- Topics
- DevOps Metrics & Measurements · Software Delivery & Architecture
- Formats
- epub · pdf
- License
- Creative Commons BY-NC-SA
