DevOps Insights for the Executable Digital Twin
summary
Built an executable digital twin platform that runs simulation models alongside physical test benches in real time, started a DevOps program in 2018, and now ships a microservice stack of hundreds of small repos to customers on isolated test cells. Engineering practices include rigorous requirements traceability, automation of repetitive tasks, and continuous learning; a dedicated mutation-testing cluster plus fuzzing found a float-serializer crash hardens quality. The backlog grows to 7,000 work items and 800 continuous tests, the product scales across vehicles and turbines, and processes are stable enough to sustain 5–15 year deployments.
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chapters (12)
- 0:00DevOps and digital twins
- 2:29Executable digital twin
- 3:10Digital twin testing examples
- 5:59DevOps journey start
- 8:29Team culture values
- 11:18Process automation
- 14:07DevOps architecture
- 16:38Test case management
- 19:04Continuous team learning
- 21:11Exploratory testing
- 23:41DevOps outcomes
- 25:06Open questions and closing remarks
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