Multi-Cloud Does Not Have to Mean Three Consoles at 2 A.M.
The alert fires at 2 a.m. for a connection nobody on call fully owns. The application lives in AWS, its data sits in Azure, a reporting job runs in Google Cloud, and the runbook for the link between them was written by someone who left last spring. That is the quiet cost of multi-cloud for many US businesses. The architecture works during the day, but operating it means watching several consoles, chasing drift between environments, and reconciling different logs when something slows down. AI workloads add more moving parts, with training and inference traffic that cannot simply pause while a team investigates. Managed services change that operating picture within CloudVerg — details are at cloudverg.com — a private cloud and AI connectivity offering for US businesses. Instead of treating connectivity as a one-time build, managed operations keep private paths, policies, and transfers monitored and consistent over time. CloudVerg covers multi-cloud networking across AWS, Azure, Goog...