Insights
Practical thinking on AI and cloud from architects who build in the real world — no hype, just what actually works.
- AI Development
AI Agents in the Enterprise: A Practical Implementation Guide
How to build and deploy agentic AI systems in enterprise environments. Architecture patterns, governance, and real-world deployment strategies.
- Cloud Architecture
Cloud Migration Strategy: A Step-by-Step Guide for UK Businesses
Complete cloud migration strategy guide. Planning, execution, and optimisation for AWS, Azure, and GCP migrations in regulated UK industries.
- Machine Learning
MLOps Best Practices: From Experimentation to Production ML
MLOps best practices for deploying and managing machine learning in production. Model versioning, monitoring, and CI/CD for ML pipelines.
- Cloud Architecture
Running HPC Workloads in the Cloud: Architecture and Cost Guide
How to run high-performance computing workloads in AWS, Azure, and GCP. Architecture patterns, cost optimisation, and burst computing strategies.
- Cloud Architecture
FinOps for Cloud Cost Control: A Practitioner's Guide
FinOps practices for controlling cloud costs. Visibility, optimisation, and governance strategies for AWS, Azure, and GCP environments.