The data center you rent by the second — the broadest, deepest cloud, and the safe answer when 'where does this run?' has to be bulletproof.
Amazon Web Services is the cloud that defined the category: rent servers (EC2), storage (S3), managed databases (RDS), serverless functions (Lambda) and roughly two hundred other services, billed by usage, spun up in minutes across data centers worldwide. It is the largest cloud by market share and the one with a service for almost everything — which is both its strength and its learning curve.
AWS is our default when a product outgrows a frontend host: managed Postgres on RDS, files on S3, containers on ECS/Fargate, background jobs on Lambda. We pick the region for latency and data-residency, lock down access with least-privilege IAM, and keep infrastructure in code so an environment is reproducible, not hand-built.
The big-three clouds, side by side — the choice usually comes down to what the client's organisation already runs.
| Dimension | AWS | Google Cloud | Azure |
|---|---|---|---|
| Made by | Amazon | Microsoft | |
| Strongest at | Breadth & maturity — a service for everything | Data, Kubernetes & AI/ML tooling | Enterprise & Microsoft-shop integration |
| Market position | Largest share, biggest ecosystem | Third; strong on data and open-source | Second; dominant in enterprise |
| Best fit | Default for most; deepest hiring pool | Data-heavy and ML-heavy products | Orgs already on Microsoft 365 / .NET |
| Learning curve | Steep — vast surface area | Moderate | Moderate, familiar to Windows teams |
| Region reach | The widest | Wide | Wide, strong in regulated markets |
AWS is our default cloud for the same reason we default to Postgres and React: the risk profile. It's rarely the cheapest line item, but it's the one that's never the reason a launch slips. We reach for Google Cloud on data-heavy products and meet enterprise clients on Azure when that's their home.
Tell us what you're building — we'll tell you honestly whether AWS is the right tool for it.