Question 1

How do I use Simple Beer Service with a Raspberry Pi instead of Intel Edison?

Accepted Answer

The project supports Johnny-Five platforms, so you can adapt the device code by changing the board instantiation from Edison to Raspberry Pi. However, the README focuses on Intel Edison, and you'll need to ensure sensor compatibility and GPIO pin mappings for your setup.

Question 2

What are the ongoing AWS costs for running Simple Beer Service?

Accepted Answer

Costs vary based on data volume and usage of services like IoT Core, Kinesis, and DynamoDB. AWS offers free tiers, but for continuous sensor streaming, expect charges for message counts, storage, and data transfer, which can accumulate over time.

Question 3

Simple Beer Service vs commercial kegerator monitoring systems: which is better?

Accepted Answer

Simple Beer Service is open-source and customizable for DIY enthusiasts, while commercial systems are more plug-and-play with support. SBS requires technical setup and AWS knowledge, whereas commercial options offer ease of use but less flexibility.

Question 4

How to troubleshoot WebSocket connection issues in the dashboard?

Accepted Answer

Check AWS IoT policy permissions for Connect and Subscribe actions, verify the Cognito identity pool ID in main.js, and ensure the device is publishing to the correct topic. The README outlines policy setup and identity pool configuration steps.

Question 5

Can I add custom sensors like CO2 levels to Simple Beer Service?

Accepted Answer

Yes, modify the device.json file to include new sensors and update the device code to publish additional data. You'll also need to adjust AWS IoT rules and the dashboard to handle the new data streams, as suggested in the hardware customization section.

Question 6

Is Simple Beer Service production-ready for a bar or brewery?

Accepted Answer

It demonstrates production patterns on AWS but may lack enterprise features like advanced security, scalability, or SLA guarantees. It's best for learning, prototyping, or small-scale deployments, with potential modifications for larger use.

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