IoT enabled smoker for great BBQ
summary
A working IoT smoker is built: a RasperryPi and AWS Greengrass device reads a food thermistor via an MCP3008 thermistor probe, sends data to AWS IoT Core then into an event-driven serverless stack using SQS Lambda EventBridge Step Functions S3 and DynamoDB. The system implements stall detection and fire alerts, stores raw messages first, augments events with thresholds, and triggers notifications. Demonstrated improvements to temperature control and deployable device updates over the cloud.
AI-written summary · about
chapters (23)
- 0:00Intro
- 1:03Agenda
- 3:53Smoker types
- 4:30loT enabled smoker
- 6:29Components
- 7:42loT device software
- 8:45Lesson learned
- 11:22Improvements
- 12:17AWS Greengrass
- 13:45Cloud architecture
- 15:04Storage first
- 16:12Data augmentation
- 17:42Detection service
- 20:32Serverless and event-driven
- 21:43Great BBQ?
- 22:26Choreography +Orchestration
- 23:11AWS StepFunctions workflow types
- 24:29Express workflows
- 25:43Create subscriptions
- 27:45Default bus
- 28:52Transform don't transport
- 30:36Next step
- 33:02Summary
related talks
18mKeys to Successful IoT Systems Design
30mThe Internet Of Things
10mWeather Station Projects and Wildlife Sensors w/LoRaWAN
41mBuilding Durable Serverless IoT Device Workflows using Cloud
40mCheers to that! | Joel Lord | jdsay 2022
21mIoT Competition Teams
22mThe Roof Is on Fire?
44mConnecting your Development Workflow to The Internet of Things
