What is your approach to managing thousands of edge devices?
Fleet management, updates, security patching and observability at the edge: what tools and practices have held up?
In short
Edge computing runs processing close to where data is created, in factories, shops, vehicles or telecom sites, rather than in a central cloud; this topic also covers IoT and industrial systems. Buyers care about managing many small sites remotely, securing devices and operational technology, and working with connectivity that can’t be taken for granted.
Written by Techarda editors · Updated · How we work
The newest Edge computing and IoT stories from the last 90 days. Each one opens with our summary and a link to the original source.
AI agents are moving beyond screens and servers into the physical world, controlling robots, drones, factory equipment, and building systems. DefenseClaw now includes an Edge Connector that brings AI agent security to these constrained devices....
The 3rd quarter of 2026 has shown that network automation isn’t just a "nice to have," but rather a critical support for AI-driven workloads, edge computing, and hybrid cloud environments. Organizations are moving away from manual Day 2 operations and ad hoc solutions to a comprehensive, integrated automation platform. For network operations (NetOps) teams, this means transitioning from managing…
A deep dive into how D1 architected its control plane to scale and manage millions of databases, while keeping data plane query operations at the edge. We share guiding principles on how to build on the Developer Platform effectively.
Starting today, you can deliver web applications built on AWS Lambda Web Functions through CloudFront's global edge network. With CloudFront in front of a Lambda Web Function, you get TLS termination at the edge for lower latency and faster connections, caching for better performance, and custom domains with managed TLS certificates. No changes to application code are needed. CloudFront Origin…
In Part 1: Preparing AI models for deployment, we saw how our model left the training pipeline as a signed, optimized Open Container Initiative (OCI) artifact ready to travel to the edge. Now, our next question is: what will be the implications of running those AI workloads at the edge? Running AI inference in a data center means using standardized hardware and abundant memory. At the edge, a…
In Part 1: Preparing AI models for deployment, we saw how our model left the training pipeline as a signed, optimized Open Container Initiative (OCI) artifact ready to travel to the edge. Now, our next question is: what will be the implications of running those AI workloads at the edge? Running AI inference in a data center means using standardized hardware and abundant memory. At the edge, a…
When I started playing with AI models for edge computing use cases, everything went smoothly. But once I reached the "it works" point and started thinking about how to operationalize it, the whole thing became more complicated. I started to question how a trained model becomes something you can ship to the edge. How can I get the most out of edge devices while running AI models? How can I manage…
Stories say what companies announced. These threads are where people who work with Edge computing and IoT compare notes.
Fleet management, updates, security patching and observability at the edge: what tools and practices have held up?
The active companies with the most Edge computing and IoT stories in the last 90 days. It counts news coverage, not quality, market share or fit for your needs.
Where Edge computing and IoT sits among the categories Techarda covers. Each hub shows who is active, and each guide sets out how to evaluate vendors.
Plain definitions of terms that come up in Edge computing and IoT stories, from the Techarda glossary.
When latency, bandwidth cost, unreliable connections or data rules make sending everything to a central cloud impractical, for example machine vision on a production line.
IT security protects business systems and data. Operational technology (OT) security protects systems that control physical processes, where safety and availability come first and devices may run for decades without patches.
With central, declarative management: devices that set themselves up, configuration pushed from one place, remote monitoring and updates that can be rolled back. Site visits should be the exception.
Stories are filed under topics automatically from their headline and summary, so the odd one may sit in the wrong place. Spotted one, or a topic we should add? Email engage@techarda.com. All topics.