Operations | Monitoring | ITSM | DevOps | Cloud

Cloud disaster recovery strategies, RTO/RPO targets, and best practices

Most DR plans have a fatal assumption baked in, namely that the cloud provider stays up. Your runbook says “failover to us-west-2.” That works until the provider’s control-plane services degrade and the credentials, APIs, or DNS management your failover workflow depends on become unreliable. Single-provider DR is disaster deferral.

The Case for Multi-Cloud: Why Vendor Lock-In Is a Growth Liability

Multi-cloud architecture protects engineering organizations from three compounding liabilities that single-cloud stacks accumulate silently: a narrowing hiring pool, data residency exposure that surfaces the moment you sign a regulated enterprise customer, and eroded pricing power at exactly the point your cloud spend is accelerating fastest. Redundancy is a side benefit, not the reason to adopt it. The redundancy argument for multi-cloud is the wrong argument to make early.

Build a Cloud Shaped Around Your Workloads

a few years ago, nobody was asking where their inference layer should run. Now it’s on the roadmap, or already in production and costing more than anyone budgeted. Or perhaps you’ve built an agent infrastructure that spins up on a request and vanishes by midnight. Or you need GPUs that are priced like a luxury good on the hyperscalers, so you go source them from a neocloud like Lambda.

AWS, GCP, Azure - We Pick The Best of Every 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 the Support | Minga & Control Plane

"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.

Minga cut infra costs 30-40% - and it scales itself | Control Plane

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.

Let AI Run Your Cloud Infra? Ex-VMware & SAP Architects Weigh In. (ft. TechWorld with Nana)

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.