Operations | Monitoring | ITSM | DevOps | Cloud

AI in Embedded Systems: A Black Box You Must Control

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.

Feature Spotlight - Failsafe Devices

Incident notifications are always time sensitive, so it’s crucial that teams and resolvers are set up to receive them. When an alert is sent to a group you belong to that uses failsafe devices, you can still receive the notification even if you don’t have any devices with an active timeframe. You can choose which device is used as a failsafe, giving you an extra layer of reassurance that you’ll never miss an important notification when it matters.

Subaru Cars Have A Massive Security Vulnerability

Security researchers found a massive flaw in Subaru’s remote vehicle system—hackers could unlock and track cars easily. The culprit? Homemade authentication protocols. Lesson: Don’t DIY security. Use trusted, third-party solutions. What do you think Subaru should have done differently?