In this blog post series, we will look at a simple example of modeling an IoT device process as a workflow, using primarily AWS IoT and AWS Step Functions. Our example is a system where, when a device comes online, you need to get external settings based on the profile of the user the device belongs to and push that configuration to the device. The system that holds the external settings is often a third party... - Source: dev.to / about 1 year ago

Iot - MQTT broker to send messages to the Raspberry Pi. - Source: dev.to / over 2 years ago

" Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. These services help organizations move faster, lower IT costs, and scale. AWS is trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including: web and... Source: over 2 years ago

AWS IoT Core - message broker between all devices and AWS. - Source: dev.to / over 2 years ago

If you have to ask, then you should be using AWS by default. They have plenty of IoT services for you to fiddle around with and get started. Source: almost 3 years ago

Then maybe something like Https://freac.org/. Source: about 1 year ago

Just take that lossless track and encode it to 320kbps Vorbis using a good quality encoder (Foobar or freac). Then load both the files into any ABX comparison tool. It will load both samples then shuffle them so X/Y are random and you have to tell it which you think is A and which you think is B. Source: over 1 year ago

Evidently this will work (though sadly no Linux version): https://freac.org/. Source: over 2 years ago