Industrial automation has long relied on hardware PLCs that are reliable but rigid. Control logic is tightly bound to specific devices, updates are slow and manual, and scaling across multiple…
Five years sit somewhere between that feeling of long and full days, but short years. As a company, we have undertaken many projects, but there’s still a sense that time…
As vehicles transition into software-defined platforms, the need for a robust development and deployment environment becomes increasingly clear. The shift from distributed ECUs to centralized, Linux-based computers fundamentally changes how…
When you first start to deploy edge workloads, everything will look simple enough: a few sites, some containers, and a stable network. But eventually, it’s time to scale. The number…
I have noticed a significant increase in pressure among our users to implement AI at the edge over the past couple of months. Applied AI is becoming mainstream, and some…
What Is a Software-Defined Vehicle (SDV)? A “software-defined vehicle” describes a car whose core functions and features are driven by software rather than hardware. It’s the continuation of the trend…
Operational Technology (OT) environments are undergoing a profound shift. For years, the dominant model of “edge” in OT and IoT was straightforward: collect data at the edge, forward it upstream,…
Authors: Carl Moberg and Amy Simonson During the five years of Avassa, we have had many hundreds of conversations on the broad topic of edge computing. Ranging from focused commercial…
Managing distributed infrastructure at the edge demands clarity on two foundational concepts: automation and orchestration. Automation handles individual, repeatable tasks without human input, while orchestration coordinates those tasks across multiple…
For more than a decade, the cloud promised to free enterprises from the complexity of managing their own infrastructure. And it delivered: elastic capacity, global reach, and faster innovation. But…