Every few months, I hear a version of the same story. A company decides to "move to the cloud." They pick a provider, start moving things over, and three months later they're spending 40% more than they did on-premises, half their apps are still on local servers, and nobody's quite sure why the database keeps timing out.
Cloud migration done badly is a genuinely painful experience. But cloud migration done well is transformative - and the difference usually comes down to planning, not technology.
First: Are You Actually Ready to Migrate?
This sounds obvious, but it's where most migrations go wrong. Before touching a single server, you need honest answers to these questions:
- What's the actual business driver? Cost reduction? Scaling? Disaster recovery? Each has a different migration approach.
- Do you have a clear inventory of everything that runs on-premises? (Most companies think they do. Most companies don't.)
- Who owns the migration? A project without a clear owner usually fails.
- What's your acceptable downtime window during cutover?
The Three Migration Strategies (Pick the Right One)
Lift and shift (Rehost): Take your existing servers, move them to virtual machines in the cloud. Fastest. Cheapest upfront. Doesn't unlock most of the cloud's advantages - you're essentially renting the same infrastructure at a different location.
Refactor (Replatform): Modify your applications to use cloud-native services - managed databases, serverless functions, object storage - without a full rewrite. This is the sweet spot for most growing businesses: meaningful cloud benefits without a multi-year engineering project.
Rebuild (Re-architect): Start from scratch using cloud-native design principles. Most transformative. Also most expensive and time-consuming. Right for applications that genuinely need it - not for your invoicing system.
AWS vs Azure vs GCP - The Honest Answer
Everyone wants to know which cloud is best. The honest answer: for most businesses, it doesn't matter as much as the sales teams will tell you. All three are mature, reliable, and globally distributed. The real factors:
- Azure if you're heavily in the Microsoft ecosystem (Office 365, Active Directory, .NET workloads). The integration is genuinely better.
- AWS if you want the widest service catalogue and the largest support community. It's where the most cloud expertise lives.
- GCP if data analytics and ML workloads are central to your business, or if BigQuery is on your roadmap.



