Local infrastructure is the product.
A developer in Accra should not deploy to a region an ocean away, pay in a foreign currency, and wait on support in another timezone. Codafords is the alternative: the same push-to-deploy experience, on infrastructure that lives where its users do.
Why this, here, now.
Four things have to be true at once for a regional cloud to be worth building rather than reselling. All four are, and each one is a deliberate choice rather than a happy accident.
Owned end to end
A private, self-managed cluster — nothing shared with another workload or client.
Push-to-deploy parity
The developer experience users already expect from a global provider, locally.
Isolation proven live
Boundaries re-tested with real negative tests, not just reviewed in code.
Built for the region
Local latency, local currency, local support — and local data residency.
Six weeks, six shipped products.
From core platform to object storage, every milestone below landed on the live cluster — dated, verifiable, and still running.
Stated plainly, for real diligence.
This is a pilot-stage platform, sized for real but not yet massive scale. Current infrastructure capacity is known and tracked.
- Pilot-stage capacity: real, but not yet massive scale.
- Scaling decisions are staged — dedicated database node pools, then separate load-balancing paths, then additional clusters.
- Native mobile app hosting is explicitly out of scope; a mobile backend API hosts like any other service.
Direction, researched — not promised.
Each item has been researched, and in several cases verified against the real infrastructure, so future work picks up from real findings.
- Isolated code-execution sandboxes without a full-VM hardware dependency.
- Cloud-based terminal and workspace environments.
- Temporary preview environments per pull request.
- A lighter WebAssembly-based function tier.
Capital to take a working cloud from pilot to region.
The platform is built, live, and carrying real deploys. The next stage is capacity: dedicated database node pools, separate load-balancing paths, and eventually additional clusters — planned in stages rather than promised all at once.