Operations | Monitoring | ITSM | DevOps | Cloud

When your platform is tied to a single cloud, every move turns into a migration. This team decided it didn't have to be. In this clip, a Control Plane customer explains how separating their platform from the cloud provider underneath changed the math on infrastructure. Instead of being locked to one vendor, they can pick the best services from each cloud and move workloads to AWS without jumping through hoops. The kicker: a migration whose sheer scale would have "scared them off" becomes a non-event once your platform isn't welded to a single provider. Control Plane is an AI-native virtual cloud.

"The biggest surprise was how much support we've gotten from the Control Plane team." — Minga Most teams know the drill: unless you're paying a lot, you don't get real support from GCP or AWS. Minga found the opposite with Control Plane. Whenever an infrastructure issue comes up, the Control Plane team jumps in — digging through logs, tracking down the root cause, and staying in the trenches even when the problem isn't theirs to fix.

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Minga checks in 1.5 million students across the eastern seaboard by 8:30 AM Eastern — then lets that infrastructure wind down an hour later. After migrating to Control Plane, they cut infrastructure costs 30–40% and traded fragile, manual scaling for a platform that scales itself.

Can you trust AI to run your platform? AI can now spin up production infrastructure in minutes — but speed cuts both ways. In this episode, Nana(TechWorld with Nana) sits down with Doron Grinstein and Dan Wilson, two architects who built, broke, and fixed platforms at VMware and SAP, for a no-hype look at platform engineering in the age of AI.

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They can now confidently run their workloads in a multi-cloud topology WITHOUT the pain and complexity people associate with multi-cloud.. If you need 99.999% availability and ultra-low latency. Control Plane is your ticket to rise above the clouds.

This short demo shows how to easily use ArgoCD as a coordinator - ensuring the desired state in git is what is deployed in any cloud (AWS, Azure, GCP, Hetzner, Linode, Oracle, on-prem, etc.) I look forward to your feedback. Doron.

Deepseek-r1 is a revolutionary AI model out of China. In this short video, I show how to self-host Deepseek-r1 on an AWS T4 GPU using Control Plane and Ollama.