Operations | Monitoring | ITSM | DevOps | Cloud

In this article, we will explore how to use GitHub Actions to automate building STM32CubeIDE projects. Eclipse-based IDEs like STM32CubeIDE are often used for developing embedded systems but can be a little tricky to build in a headless environment.

The Internet of Things (IoT) is rapidly reshaping the world. From smart devices in our homes to connected sensors in industrial settings, the amount of data generated is rapidly increasing. But what use is this data if we can’t collect and analyze it in real-time to gain key insights? This is where the MING stack (which includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana) comes in. This powerful combination of open-source tools is intended to simplify IoT data management.

In today’s fast-paced business environment, the efficient management of assets is crucial for maintaining productivity and profitability. The Internet of Things (IoT) has emerged as a game-changer in asset management, offering innovative solutions to traditional challenges. This blog post explores what IoT is, its benefits and drawbacks, and how it is revolutionizing asset management using IoT.

Software complexity grows exponentially, developer efficiency grows far slower. And debugging often takes up 20-50% of development time. More complex, connected systems means increased data flow at the edge, and in the cloud. That leads to increased exposure to vulnerabilities, cyber threats, malfunctions, and bugs with risks that are hard to assess.

Persisting to flash is a necessary evil for many embedded devices. Let’s take a look at some of the pitfalls and how they may be avoided.

Schematic reviews are a part of the hardware development cycle in many if not most, hardware development companies. Typically led by the electrical engineering team, it is easy to overlook design issues that will be important to the firmware team. This post tells of a few stories of design misses that I have made and puts some common lessons learned into a checklist for other firmware engineers.

The Industrial Internet of Things (IIoT) has revolutionized the way industries operate, enabling businesses to collect and analyze data from their operations in real-time. However, managing and analyzing data from diverse sources can be a challenge. While sensors and systems may use the same transport protocols, the shape and type of data generated can vary from one device to another. A lack of uniform, clean data creates challenges and obstacles when it comes to getting timely insights.