AI & Cloud Repatriation
Articles on the movement of workloads from hyperscale cloud providers back to on-premises or alternative infrastructure, including cost, performance, compliance, control, and portability considerations.
AI Cloud Infrastructure Companies in India Are Betting on Workflows, Not Cloud Providers
The first question developers ask today isn't which cloud to use — it's which workflow gets them into production fastest. Docker, GitHub Copilot, Vercel, and AI coding agents are reshaping the developer first mile while hyperscalers fight for the second.
Cloud Outages Just Got Personal: What AI and Cloud Infrastructure Companies in India Need to Do Now
Major cloud outages at Google, AWS, and Azure are becoming routine. For AI and cloud infrastructure companies in India building agentic systems on top of these platforms, the stakes are higher than ever. Three concrete steps to stop being vulnerable.
The Hidden Cost of Free AI Engineers: How Cloud Lock-In Quietly Deepens
Cloud providers deploy embedded engineers to help scale generative AI — but their incentives don’t align with yours. Here’s how forward-deployed engineers quietly increase lock-in, consumption-based billing, and vendor-controlled architecture.
Cloud Repatriation: The Shift from Hyperscale Cloud to Dedicated Infrastructure
Explore the driving forces behind cloud repatriation, including cost, performance, compliance, control, and portability pressures, and understand why enterprises are moving workloads from hyperscale cloud to dedicated infrastructure.