Operations | Monitoring | ITSM | DevOps | Cloud

Faster Releases, Fewer Bugs: Firmware Engineer Shares The Surprising Strategy

Shipping faster can seem risky, but Mark Schulte reveals why it might actually lead to fewer bugs. Discover the unexpected math behind releases and how a rapid approach enhances your debugging efficiency. Can breaking down changes hold the key to smoother deployments?

Interrupt Live: Mark Schulte | A Schematic Review Checklist for Firmware Engineers

On this episode of Interrupt Live, we'll meet Mark Schulte, a Principal Firmware Engineer at Chromatic. He'll cover a wide range of topics, from what inspired him to write his Schematic Review Checklist for Interrupt to other things like different components of firmware reliability (architecture, unit testing, hil testing, automated testing, firmware roll out, monitoring, and user feedback).

Why Edge AI Is a No-Brainer for IoT Devices

Need to stop a saw before it hits a finger? Edge AI delivers where the cloud can't with ultra-low latency, better privacy, and smarter bandwidth usage. For devices on cellular or satellite networks, pushing data to the cloud just doesn’t cut it. Here's why AI at the edge is the right move for real-time IoT applications.

How to Set Up Real-Time SMS/WhatsApp Alerts with InfluxDB 3 Processing Engine

In Industrial IoT for real-time monitoring, timely alerts are crucial. While Slack and email notifications are common, they can be easily missed or buried in a flood of other notifications. SMS and WhatsApp on the other hand, offer a level of immediacy and directness that’s hard to ignore.

How IoT and Dual Dash Cams Keep Drivers in Focus

Picture this: you're managing a fleet of delivery trucks, and one of your drivers is out on a long haul. You can't ride along to make sure they're driving safely, but what if you could keep an eye on them anyway? That's where IoT and dual dash cams step in. These aren't just regular cameras-they're smart, connected, and built to keep drivers in focus, both literally and figuratively. In today's fast-paced world, where safety and efficiency are everything, these tools are a total game-changer.

Your ML model isn't a feature-it's the product.

Too many teams treat their ML models as isolated components. In reality, they're core to the product experience. Whether it’s a face-recognizing doorbell or another connected device, it’s time to think system-first. How fast should it respond? What happens if it fails? Start designing with the full user experience in mind.