Edge & Distributed Architecture
The interesting compute is moving away from a handful of mega-regions and out toward the user. This is my thinking on edge and distributed architecture — why latency, data gravity, and sovereignty keep pushing workloads outward, and what that changes about how you build.
51 items, 2023 to 2026.
Frameworks
Talks
Writing
- After the Interview: What I Wish I'd Had More Time to Say About the AI Grid The Digitalisation World interview covered the AI Grid concept in eight minutes. Here's what that format couldn't fit: the three questions I get asked most often afterwards, and why the answers matter more than the headline.
- The AI Grid: Why Inference Is Becoming a CDN Problem Training built the centralised AI factory. Inference is quietly un-building it — because serving predictions to users is a latency, geography, and cost problem the industry already solved once, for content, twenty-five years ago.
- The Streaming Wars Were Won on Content. The Next Ones Won't Be. Streaming solved access and then broke it again — eight services, $1,100 a year, and a discovery experience worse than cable. The platforms that survive won't be the ones that spent the most on content. They'll be the ones that removed the friction.
- Agentic AI Patterns: From Chatbots to Autonomous Workers A decision guide to agentic architecture patterns — single vs multi-agent, sequential, routing, parallelisation, orchestrator-workers, evaluator-optimiser, and reflection — with trade-offs, failure modes, and the observability you can't ship without.
- Cloud Was Never Meant to Be Cheap—Especially Not at Hyperscale Why cloud cost depends on architecture and workload shape rather than scale, and how distributed models outperform hyperscale for AI-driven, data-gravity-bound workloads.
- State of Cloud 2025: Navigating EMEA's Cloud Revolution How organisations across Europe, the Middle East, and Africa balance innovation with economic constraints through AI, edge computing, and distributed architectures.
- Unleashing the Power of Akamai's Distributed and Edge Cloud Services for PWAs How Progressive Web Apps leverage distributed and edge cloud services for faster load times, offline resilience, and improved user experiences.
In the press
All in the press →- Preparing to take pole position on the AI grid
- John Bradshaw (Akamai): «La inteligencia artificial es tan buena, o tan mala, como los datos que la alimentan»
- GenAI data center infrastructure reshapes business processes
- Exploring the Future of AI at the Edge
- How Consumer Experience Is Driving Enterprise UX
- Why Digital-Native Organisations Aren't Betting on Hyperscalers
- From Core to Edge: Akamai on Where AI Inference Must Live Next
- From Core to Edge: Akamai on Where AI Inference Must Live Next