John Christopher

Hybrid Technology Leader (Arch + Delivery)
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JCX360 Tech Space

Practical thinking across architecture, cloud, AI and technology delivery

This is where I share the ideas, lessons and practical approaches I have developed through working across complex technology and transformation environments.

The focus is not only on technology itself, but on what happens when architecture meets delivery reality.

From designing enterprise platforms and cloud-native architectures, to engineering AI systems and managing technology delivery, the articles explore the decisions, challenges and lessons that matter when technology has to work in the real world.

What you will find here

Architecture

Enterprise architecture, solution architecture and platform thinking, with a focus on designing systems that can actually be delivered and operated.

Cloud

Cloud-native architecture, platform engineering, Azure, modernisation, scalability, resilience and the practical decisions behind cloud transformation.

AI

AI architecture, enterprise AI, RAG, agentic AI, AI platforms, evaluation, guardrails, reliability and the engineering needed to move AI from experimentation into production.

Technology Delivery

Programme planning, delivery control, governance, capacity, dependencies, execution and the connection between architecture and delivery.

Featured Series

SERIES 1

Cloud-Native And Responsible AI Foundations

Exploring the foundations required to build secure, scalable and responsible AI-enabled enterprise platforms.


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SERIES 2

Advanced Enterprise Architecture And AI Systems

Going deeper into enterprise architecture, AI systems and the design decisions required when technology moves beyond individual solutions.

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SERIES 3

Engineering AI Systems That Work In The Real World

From AI prototypes to production systems, exploring how we design, build, control, evaluate, operate and continuously improve AI in enterprise environments.

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Delivery · Architecture · AI · Technical Guides

Practical lessons, ideas and approaches from working across technology delivery, architecture, AI and cloud-native platforms.

EU Sovereign Cloud
Digital sovereignty is reshaping enterprise cloud and AI architecture, influencing how organisations manage data, operational control, regulatory compliance and technology dependencies across Europe.
The Intelligence Layer
ML → DL → LLM → RAG → Vector DB - How machine learning, LLMs, RAG and vector databases work together to power secure, context-aware enterprise AI systems.
Platform GitHub Handbook
A practical guide to using Git and GitHub for version control, repository management, branching, and maintaining a reliable development workflow.
Platform Setup
I built and deployed my personal platform (JCX360.com) using GitHub Pages, a custom domain, and HTTPS, all without paying for hosting.
Manual to Automated Operations
Automating manual maintenance processes to improve operational efficiency, reduce human error and enable more reliable, scalable platform operations.
Planning to Delivery Control
Turning strategic plans into predictable delivery through integrated planning, capacity alignment, execution tracking and delivery control.
Banking Compliance to Data Engineering
An experience-driven view of how banking regulatory requirements translate into data, architecture, engineering, governance and delivery.
AI UAT to Prod: What Changes?
Why passing UAT does not automatically mean an AI solution is production-ready.
TDA approval is not production readiness
Why an approved design does not guarantee a solution is ready for reliable, secure production operation.

The thinking behind JCX360

I am interested in the space between architecture and delivery.

A good architecture needs to survive delivery reality.

A good delivery approach needs to understand the architecture behind what is being built.

And technology needs to work beyond the initial demonstration.

That is the thinking behind JCX360.

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