Cloud & DevOps Engineering

Honestly, it depends on what you're already using. AWS wins if you need breadth and the widest service catalog. Azure if you're an enterprise on Windows or Microsoft stack. GCP if you're heavy on data, machine learning, or BigQuery. We've done migrations across all three and can tell you which actually fits your situation vs. what the sales reps recommend.

Real answer: 2-6 months, but it matters what you're moving. We do this in phases so you're not migrating everything at once. We start with non-critical systems, run them in parallel with your old setup, then cut over when you're confident. Your critical systems stay up the whole time.

If you just lift-and-shift everything, yeah, it'll probably cost more. But here's the thing—we size everything correctly from day one. Auto-scaling, reserved instances for steady workloads, spot instances for flexible work. Most clients see 30-50% savings within the first year. We show you the numbers upfront, not just promises.

We do both. Full managed services if you want us running it 24/7 with monitoring and patches handled. Or we can transfer it to your team if you want to build that capability internally. Either way, you're not stuck figuring it out alone.