Many developers see debugging as an essential feature within the software development process. The ability to stop a program at a given point and look into all internals can be very helpful to track down bugs and understand inner workings of libraries and data states. Debugging embedded targets can be a bit tricky: Typically one needs hardware debuggers, and the combination of IDE, debugger and probe needs to be configured, swapping out one target for another typically means reconfiguration and so on.
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The Internet of Things is coming and different cloud service providers are offering multiple tools for IoT applications. These tools simplify implementations of connecting sensors/devices, data storage and real time data visualisation. When we reap the benefits of these services, IoT applications become more efficient, traceable and controllable.
Today we will disassemble and reprogram an IoT unit that already exists on the market; a WLAN power outlet. This unit has an ESP8266 controller inside and in this post we'll show you how to add the alternative firmware, Tasmota.
On its GitHub page, Tasmota is defined as "an alternative firmware for ESP8266 based devices like iTead Sonoff with web, timers, 'Over The Air' (OTA) firmware updates and sensors support, allowing control under Serial, HTTP, MQTT and KNX, so as to be used on Smart Home Systems. Written for Arduino IDE and PlatformIO."
Welcome to the second part of our Microsoft Azure Cloud Services blogpost series!
At ThingForward, we keep examining different features of cloud services for different use cases of IoT applications. In the first part of our series, we started to use Microsoft Azure Cloud Services like IoT Hub. Now it’s time to test direct messaging and data storage on the cloud.
At ThingForward, we are combining Embedded Development and Cloud Services in order to increase the productivity of IoT applications. Controlling smart devices from the cloud is the key of accessibility and connectivity. Today we will be connecting our NodeMCU to the Microsoft's Cloud service called Azure.
By following this blogpost, you will be able to set up your device with any sensor you want, and you will be able to connect it to the Azure services on cloud. After that, several features of Azure will be tested.