Prototyping the Future Automotive Cloud
summary
Starts as an incubator with 5–7 developers doing one-week sprints and proves a prototype that becomes a production R&D platform. Builds an MQTT broker, a digital twin (device shadow) and a unified API so backend services call the same resource whether onboard or offboard. Integrates two communication providers (in-house MBB and a second vehicle connector), uses Cloud Foundry + autoscaler for fast R&D and marketplace services, then runs embedded Docker images in Kubernetes for granular network control; outcome: end-to-end tests, short feedback loops, and a working prototype.
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chapters (12)
- 0:00Introduction
- 3:13Business challenges
- 5:41Starting the prototyping
- 7:29Cloud architecture design
- 9:38Cloud Foundry deployment
- 11:03Unified API development
- 12:28Multiple platform integration
- 14:17Kubernetes for embedded software
- 16:02IoT paradigm adoption
- 19:34Real-world use case
- 22:05Technical learnings summary
- 23:55Conclusion and next steps
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