Use cases for the Internet of Things (IoT) range from trucks, to shipping containers, to people, to cows. An organisation’s assets can be mobile, autonomous, even sentient - and the applications for tracking these assets are as limitless as the assets themselves. Analysts have identified asset tracking as the fastest growing industrial IoT market and it is expected that most connected devices will be location aware within the next decade.

The Particle platform enables companies to manage and program their IoT devices, bringing them to market quicker. To accomplish this, Particle developers needed to be able to collect telemetry data from a large number of edge IoT devices to measure performance. A key benefit of the Particle platform is its ability to scale from prototype to enterprise. Developers often prototype IoT devices using microcontrollers like Arduino or Raspberry Pi.

The monitoring and testing of public applications and APIs is challenging by itself. What should you test? How often should you run your tests? And who should be alerted? A scalable monitoring setup includes many hidden details, but technically it’s straightforward. Call public APIs and see if they do what they’re supposed to.

Although modern iOS devices are capable of handling a wide range of intensive and complex tasks, the device may seem slow if you are not paying close attention to how your application operates. Performance improvements mentioned in this article are intended to make your code more readable and performant; however, select cautiously as per your needs. Oftentimes, altering or improving architecture and code refactoring takes more time and effort.

Prescient Devices focuses on changing the way businesses think about and use edge data and industrial IoT. The company built Prescient Designer, an edge data solutions platform that gives organizations the boost they need to transform their IT/OT processes. Prescient’s products empower data engineers, system integrators, and innovators to easily design and orchestrate edge-to-cloud data solutions.

Gin is a high-performance HTTP web framework written in Golang. It contains features and functionalities like routing and middleware out of the box. This helps to reduce boilerplate code, improves productivity, and simplifies the process of building microservices. In this tutorial, I will guide you through the process of building a RESTful API with Golang using the Gin-gonic framework. I will also lead you through building an API to manage the basic details of a company.