AWS and cloud infrastructure

Any of them will host your application competently, and the deciding factors are rarely technical. AWS has the widest service range, the best regional coverage in India, and the largest hiring pool — which is why it is our default. Azure makes obvious sense if your estate is already Microsoft and your identity lives in Entra. Google Cloud is strong on data and machine-learning workloads. What we would advise against is spreading across two providers without a specific reason, because you then pay the operational cost of both.

For a typical business application with a managed database, container hosting, storage and a CDN, the monthly figure is usually a few hundred dollars rather than a few thousand — but it depends on traffic, data volume and how much of it is running around the clock. We model it before building, tag every resource by service and environment so it stays attributable, and set billing alerts. The bills that shock people are almost always caused by something nobody was watching: an unbounded log retention, a forgotten environment, or cross-zone transfer.

Yes, and the question worth asking first is what to change during the move. A straight lift-and-shift is fast and gets you no benefit beyond someone else owning the hardware. Replacing self-managed databases and queues with managed equivalents costs more in migration effort and removes a substantial ongoing operational burden. We assess what is running, propose which pieces should change and which should simply move, and sequence it so nothing has to happen in one weekend.

AWS has regions in Mumbai and Hyderabad, so data can stay within India where regulation or contract requires it. The detail worth checking is that every service in your architecture is available in the chosen region and that backups, logs and any replicas are also configured to stay there — those are the ones that quietly cross a border. We make residency an explicit part of the design and document where each class of data lives.