#iot

The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature.
In this session we will showcase how to build a fully functional sample IoT monitoring application built with javascript and utilizing InfluxDB as its backend. With integrations to visualization libraries such as Plotly, creating automated alerts with InfluxDB as well as data downsampling.

Observability is crucial for successfully operating large IoT fleets. IoT incorporates different components, including hardware, network, on-device software, and cloud. Devices operate under unreliable conditions and constraints, and need to be monitored remotely. Cloud applications become complex and costly, as they are built to handle device activity at scale. Answering questions such as:
-    Do I have a problem in my IoT application?
-    Where is the problem?
-    What is causing the problem?
-    How much of my fleet is affected?
-    Is my code expensive to run and if yes, how can I fix that? ,
can be challenging. Logging, monitoring and tracing are fundamental observability pillars. However, they are often viewed as non-functionals in IoT applications, and can fall off the radar, or are not standardized during development.
This session will show how to leverage Open Source tools, such as AWS Lambda PowerTools, in a fully functional Serverless IoT application, to ease adoption of best practices for modern application development, and integrate services such as Amazon X-Ray, Amazon CloudWatch and AWS IoT Core features, to achieve end-to-end observability.

Software Programming is naturally fun but making something physical, to interact with the world that you live in, is like magic. Is even funnier when you can reuse your knowledge and JavaScript to do it. This talk will present real use cases of automating a house using JavaScript, Instead of using C++ as usual, and Espruino as dev tools and Microcontrollers such as Arduino, ESP8266, RaspberryPI, and NodeRed to control lights, doors, lockers, and much more.

The WebBluetooth API finally closes the gap between the browser and devices around us. And that suddenly opens up a rabbit hole, in which we inevitably encounter a few hurdles - the story of a frontend developer dipping his toes into the IOT world.

My favorite things in life are cats, computers and crappy ideas, so I decided to combine all three and make an IoT (Internet of Things) litter box using a Raspberry Pi and JavaScript! If you have ever wanted to get build your own IoT project, but didn’t know how to start, then this is the talk for you.
Together, we will go through how I setup my IoT Litter Box from start to finish. Including how to setup Node.js on a Raspberry Pi and how to connect sensors to a Raspberry Pi and how to read the sensor inputs with Node.js.