Bring Cloud Connectivity and Intelligence to the IoT Edge
summary
Claim: extend cloud services to run locally using AWS IoT Greengrass and FreeRTOS so devices process, filter and act on data without constant connectivity. Tools demonstrated: FreeRTOS on microcontrollers (ESP32 examples), Greengrass on gateways with Lambda, containers, ML inference, Secrets Manager and Stream Manager. Example: Rio Tinto deploys Greengrass on 20 haul trucks, produces road roughness heat maps, boosts tire life by ~40–50% (~$25k per tire) and syncs when connectivity returns.
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chapters (22)
- 0:00Introduction
- 1:09Microprocessors
- 2:39Data Processing
- 3:23Limitations
- 5:45Decision Making
- 8:37Business Outcomes
- 10:00AWS IoT Architecture
- 10:53Circle of IoT
- 11:32Components
- 13:22Free Autos
- 15:37AWS IoT Greengrass
- 16:15AWS IoT Greengrass Components
- 16:51Local Messages Triggers
- 20:46AWS IoT Green Grass
- 22:00Machine Learning Infosys
- 23:33Container Support
- 24:33Customer Story
- 27:43How do I quickly build a solution
- 27:55Where to find a solution
- 29:30AWS Partners Device Catalog
- 29:51AWS IoT Training Courses
- 30:18Conclusion
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