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sedwis

Cloud technologies

Cloud sized to what you actually need.

Most businesses over-provision. We'd rather put you on the smallest thing that works and grow it.

The best cloud is the one your team can operate. We've moved clients onto AWS and we've moved clients off it — the right answer depends on your scale, your compliance requirements and who's on call at 2am.

What we use

And why we picked each one.

01

AWS

The broadest cloud platform.

WhyWidest service range and the deepest hiring pool in India. Our default for anything with real scale or compliance requirements.

02

Google Cloud

Google's cloud platform.

WhyStrongest for data and ML workloads. BigQuery in particular is hard to match for analytics.

03

Microsoft Azure

Microsoft's cloud platform.

WhyThe sensible choice when you already hold Microsoft licensing and Active Directory.

04

Hostinger

Shared and cloud hosting.

WhyGenuinely sufficient for marketing sites and modest applications. We'll say so rather than sell a migration you don't need.

05

Cloudflare

CDN, DNS and edge security.

WhySits in front of almost everything we deploy. Free tier handles more than most businesses will ever need.

06

Vercel

Deployment platform built for Next.js.

WhyExcellent developer experience and preview deployments. Costs escalate at scale, so we plan the exit early.

07

Terraform

Infrastructure defined as code.

WhyReproducible environments and reviewable infrastructure changes. Prevents the undocumented drift that makes disaster recovery impossible.

How we choose

Four criteria, in this order.

01

Fit

Does it solve your actual problem, or a more interesting one?

02

Hiring pool

Could you hire for it in India if you took the project in-house?

03

Total cost

Licences, hosting and the operational time to run it — not just build cost.

04

Exit risk

How hard would it be to leave? We don't build things you can't walk away from.

FAQ

Cloud questions.

AWS for breadth and hiring pool, Azure if you're already Microsoft, Google Cloud for data and ML work. Honestly, the differences matter far less than picking one and using it properly.

Only when you need redundancy, scaling or compliance you can't get otherwise. Plenty of profitable businesses run on shared hosting, and we'd rather tell you that than bill for a migration.

Right-sizing, committed-use discounts, deleting forgotten resources, and tagging so spend is attributable. A 30–50% reduction on an unoptimised bill is common.