The evolution of cloud technology has enabled organizations to streamline and automate their software development lifecycle, as well as scale resources flexibly and efficiently. By reducing infrastructure complexity and standardizing…
Deploying AI models to the edge brings AI closer to real-world applications, addressing challenges such as latency, privacy, and autonomy. Edge deployments enable fast, localized decision-making without relying on cloud…
When designing an application to run in the cloud, typically using container orchestration with Kubernetes, several well-established design patterns guide the process. However, when you start designing an application for…
The landscape of Industrial IoT is experiencing a shift. We’re moving away from proprietary systems towards Linux and fully containerized, future-proof industrial IoT applications. Customer expectations are also evolving, with…
2023 has come to an end, but the knowledge and insgihts remain! Below, we have gathered some our most read articles of 2023. So be our guest, and take a…
Edge computing as a generic concept can be argued to be at least as old as the cash register, but the last couple of years have seen a radical uptake…
In the fast-paced and competitive transportation industry, companies face the dual challenge of modernizing their logistics and embracing digital transformation. Edge computing emerges as a pivotal technology in this sector,…
The edge solution space is developing increasingly fast. As a CTO I get fewer questions along the lines of “why edge?” and increasingly along the lines of “tell me how…
I will kick off this article with a quotation from a conference I once attended. There was a discussion around the complexity of a large open source project with many…
There are many reasons for running applications at the edge. Some of the ones we hear often include latency, bandwidth, and security requirements. But another very common reason, that might…