Topic

Edge computing and IoT

17 stories in the last 90 days · 1 community thread

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

Latest stories

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.

Networking

Agents at the Edge: Extending AI Security Governance to Physical AI with DefenseClaw

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....

Cisco·via Cisco Blog
Containers & Kubernetes

Advancing NetOps-as-Code: Strategic momentum, enhanced security, and multimode automation

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…

Red Hat·via Red Hat Blog
Security

Under the hood, off the hot path: How D1 scales to millions of databases

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.

Cloudflare·via Cloudflare Blog
Cloud Infrastructure

Amazon CloudFront now supports AWS Lambda Web Functions as an origin

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…

Amazon Web Services·via Amazon Web Services Blog
Cloud Infrastructure

Monetizing AI Agents at the Edge with Akamai Functions

Akamai·via Akamai Blog
Containers & Kubernetes

MLOps at the edge: Running AI models at the edge

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…

Red Hat·via Red Hat Blog
Containers & Kubernetes

MLOps at the edge: Running AI models at the edge

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…

Red Hat·via Red Hat Blog
Containers & Kubernetes

MLOps for edge AI: Preparing AI models for deployment at the edge

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…

Red Hat·via Red Hat Blog

Earlier in the last 90 days

  1. Announcing Cloudflare K2: serverless event streamsCloudflare · 1 Oct 2026
  2. Particle M635e Achieves Skylo Certification for Satellite IoT ConnectivityDigi International · 23 Sept 2026
  3. Introducing Fastly’s AI Runtime Control: Why Your AI Strategy Needs a Control PlaneFastly · 20 Sept 2026
  4. Particle by Digi Showcases Edge AI, Satellite Connectivity and Complete Embedded Solutions at Embedded World North America 2026Digi International · 17 Sept 2026
  5. AI at the Edge, Built on Red Hat OpenShift, Supermicro, and PortworxEverpure · 9 Sept 2026
  6. Analyzing a Go-Based IoT Self-Propagating DDoS BotnetAkamai · 3 Sept 2026
  7. Instantly AI-Agent-Ready with WebMCP on DemandFastly · 31 Aug 2026
  8. Level Up Your Security with Fastly API EnforcementFastly · 25 Aug 2026
  9. MCP at the Edge: What Changes When MCP Runs Securely in Every POPFastly · 19 Aug 2026

What practitioners are discussing

Stories say what companies announced. These threads are where people who work with Edge computing and IoT compare notes.

All Edge computing and IoT threads →

Companies in these stories

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.

Compare Fastly, Red Hat and Akamai

Related categories

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.

Terms to know

Plain definitions of terms that come up in Edge computing and IoT stories, from the Techarda glossary.

Full glossary →
FAQ

Frequently asked questions

When does edge computing make sense?

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.

What is the difference between IT and OT security?

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.

How do teams manage thousands of edge sites?

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.

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