Automotive Cloud Development Paradigms - Diving into Connecting IoT...
summary
Porsche and Grape Up build an automotive IoT platform that runs Cloud Foundry for developer-facing apps and Kubernetes for containerized vehicle software, using Docker-simulated cars then moving to real ECUs with Azure IoT. A pico shadow digital twin proves reliable for state sync and offline recovery; a generic license model enforces geolocation and time-limited features. Stack highlights: MongoDB, RabbitMQ, S3, Concourse CI, CF marketplace services. CF + K8s prototype flow works and CI/CD with end-to-end hardware-in-the-loop tests validates deployments.
AI-written summary · about
chapters (7)
- 0:00Industry transformation in automotive
- 7:21Automotive cloud concept
- 13:32Incubator project findings
- 15:41Prototyping phase setup
- 22:25Testing and CI/CD pipelines
- 25:16Platform combination benefits
- 26:34Q&A on real-world challenges
related talks
01h 15mIoT Realized - The Connected Car v2
32mBuilding Data-Driven IoT Apps on Cloud Foundry - Dormain Drewitz, Pivotal
34mAutomotive meets IoT: innovating your future vehicle
28mRunning SAP's IoT Services on Cloud Foundry
32mBuilding an Open Framework for Cloud Based IoT Solutions
47mMaking the CASE: Cloud-based innovation in the automotive industry
15mAWS On Air Industry Review ft. Automotive
45mOpen Source, IoT, and the Big Monster
