Cheers to that! | Joel Lord | jdsay 2022
summary
Claims that home brewing can be instrumented end to end: a density probe plus an esp8266 (or Esprino/Raspberry Pi) sends angle and temperature readings to mongodb atlas via Realm serverless functions, with aggregation pipelines, triggers and Charts for analytics. Cites IoT growth from ~50 billion toward ~80 billion by 2025. Built system logs sugar falling during fermentation and a surprising 2–3°C spike in fermenter temperature; batches run ~20 gallons (80 L) each, dual batches ≈160 L, and the setup works.
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chapters (21)
- 0:00Introduction
- 1:39IoT matters for developers
- 4:48JavaScript and IoT tools
- 7:54Demo: Espruino microcontroller
- 10:02Sensors and data with Espruino
- 11:48Raspberry Pi for IoT
- 14:36Transition to brewing
- 15:20Brewing basics overview
- 16:26Beer ingredients and history
- 21:25Role of yeast in brewing
- 22:06Step-by-step brewing process
- 24:54Finalizing and kegging
- 25:14Monitoring fermentation with IoT
- 27:19Building IoT data pipeline
- 28:48Storing data in MongoDB
- 29:32Optimizing IoT data with time series
- 31:17Analyzing data with aggregation
- 33:22Real-time alerts and triggers
- 35:30Visualizing fermentation data
- 36:32Recap and takeaways
- 37:15Q&A
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