Sometimes, C/C++ projects have a long development cycle. When working on such a project, it can be easy to take our development environment for granted, and forget about the effort invested in its bring-up. The build environment works like magic, the test framework is neatly integrated, and the CI/CD pipeline relieves us of tedious, repetitive tasks.
The security camera is one of the most prevalent IoT devices being used today. Ironically, one of these cameras' primary vulnerabilities is that they may be stolen or damaged - you need protection for the security cameras. Having gadgets that operate independently saves time since you may leave them to do the job they intended. However, remotely placed, unsupervised equipment must be monitored, and the most effective method is through the use of an automated monitoring system.
The Internet of Things (IoT) - is a number of physical devices connected to one network that enables the system to interact with the external world. A great deal of the work surrounding IoT is monitoring, as it’s impossible to react without knowing the situation. For example, we might build a greenhouse system for agriculture that can maintain optimal conditions for growing crops. For this purpose, we need to have sensors picking up information about the temperature and humidity.
I’ve been a firmware engineer at two wearable companies in the past, Pebble and Fitbit, and there was always one class of customer support tickets and user complaints that never went away: issues around battery life. It was a constant game of whack-a-mole with every new firmware version introducing a battery regression.
As we stand on the brink of the fourth industrial revolution, the Internet of Things (IoT) has emerged as a key player in this brave new world. It’s akin to a jigsaw puzzle, providing the bits and pieces that, when properly assembled, can give rise to a complete and holistic picture of our digitized environment. At the heart of this transformation lies Microsoft’s Azure IoT, a comprehensive suite of services and solutions tailored to unlock the full potential of IoT.
I’m Markus, software engineer @ Tridonic, where we are working on Internet-connected wireless lighting solutions based on the Matter standard. To be able to monitor the reliability of those devices we’ve been using Memfault and tied it into Matter/Thread and its UDP/IPv6 stack based on the Nordic Connect SDK. In the following, I’ll show you the modifications we’ve done to enable Memfault in an IPv6 solution. Like Interrupt?
Monitoring IoT devices is a very important process for analyzing their behavior and ensuring their performance. You need to choose the right monitoring tools to effectively collect and analyze metrics. In this article, we will learn how to monitor your IoT devices using Mosquitto and Graphite. You will also find out what benefits you can get using a Hosted Graphite solution from MetricFire. Check out MetricFire’s free trial to test all the features it provides.
The Raspberry Pi, a compact single-board computer, is widely used for DIY projects to industrial applications. These devices ship with a customized Linux distribution that differs from standard Linux, adding a layer of complexity for developers trying to troubleshoot application problems and dependencies.
Embedded systems often require a careful eye to where memory resources are being spent, especially runtime memory utilization like stack and heap memories. This article is intended to shed some light on strategies for measuring stack memory usage on a small embedded system.
The modern factory’s relationship with data is experiencing a major change. Data now shapes the future rather than only telling the story of the past. The language inside the factory sounds like higher Overall Equipment Effectiveness (OEE) as the result of a shift from preventive to predictive maintenance. It could also look like expanding business goals to a new market based on impactful data-driven decisions. A change in purpose requires an update in technology.
