As Agile and DevOps practices continue to challenge the status quo and improve business outcomes, companies need to learn how to scale these practices across large, complex systems composed of hardware, firmware, and software. The ability to iterate and deploy faster requires companies to adapt to changing needs, reduce cycle time for delivery, increase value for money, and leverage innovations. An industry-wide misconception is that this form of rapid iteration is only for software or small applications and systems. For cyber-physical solutions, software is only one part of the value stream leading us to consider the implication and the application of DevOps principles across the entire end-to-end system. When adopting Agile and DevOps principles to developing systems it is important to capture the value stream and to identify how teams are organized to reduce handoffs and improve delivery of capabilities.
In this session, we will share the principles of Industrial DevOps that development organizations can use to harness the power of Agile and DevOps to the build and maintenance of large-scale, cyber-physical systems such as vehicles, robots, complex medical devices, defense weaponry, and others. We will also walk through the importance of systems thinking and value stream identification, and demonstrate how systems engineers can support their organization in identifying value streams and organizing teams for improved delivery. Using a scenario of an autonomous vehicle, we will discuss the challenges and opportunities for improving dynamic learning and feedback loops for both culture and technical architectures.
Participants will:
Become familiar with Industrial DevOps principles as applied to cyber-physical solutions.
Learn how systems engineers can support their organization by identifying value streams and organizing teams for improved delivery