Cloud & Platform Engineering
Cloud application solutions across Azure and AWS, engineered to modernise and to observe.
The problem
Cloud migrations that only move the servers, not the operating model, end up as expensive copies of the same problems.
The outcome
Cloud infrastructure and applications that are modernised, observable, and built to scale.
- Built a Nordic workplace-safety/quality SaaS with strict tenant-by-tenant data isolation, enforced at the database layer.
- Cloud application solutions across Azure, AWS, SaaS, IaaS, PaaS, and IoT.
What's included.
- Cloud architecture on Azure and AWS.
- SaaS, IaaS, and PaaS delivery models.
- IoT integration where relevant.
- Modernisation of existing platforms with observability built in.
How this actually runs.
Discovery sprint
Paid, 5 days. De-risks scope before you commit to a quote.
Frozen scope & fixed quote
Scope and price are frozen once the sprint ends — no moving target mid-build.
Milestone delivery
Delivered in stages (30/25/25/20) so progress is visible before the end.
30-day warranty
A warranty window after delivery to catch anything that needs fixing.
AMC
An annual maintenance contract keeps it running after that.
Built on.
- Azure
- AWS
- SaaS / IaaS / PaaS
- IoT
See the products this work is grounded in.
All products
CrestBid AI, Orchestrator Studio, and Vexilo — three local AI products built by the same team.
Questions worth asking.
Azure and AWS, chosen based on your existing footprint and requirements — we don’t push a single-vendor default.
Tenant isolation is enforced at the database layer, not just in application code — a recent Nordic SaaS build shipped with data access rules covering every table a tenant could touch.
It’s part of the same engagement — modernisation work is delivered with observability built in, not bolted on afterward.
Ready to talk about cloud & platform engineering?
Cloud application solutions across Azure and AWS, engineered to modernise and to observe.