Applications Built for the CloudFrom the Start.
We design and build cloud-native applications that scale automatically with demand, recover from failures without manual intervention, and cost what they should — with full visibility into why.
Built for the cloud from the start.
We design and build cloud-native applications that scale automatically with demand, recover from failures without manual intervention, and cost what they should — with full visibility into why.
Cloud-native, not just cloud-hosted.
Cloud-hosted means an existing application moved onto cloud servers. It runs in the cloud but was never designed to use it — no auto-scaling, no self-healing, and the same bill whether under load or idle. Cloud-native is designed from the start around managed databases, auto-scaling compute, serverless functions, and event queues, so it is resilient, scalable, and operationally efficient by design.
Applications designed around managed cloud services from the first diagram, rather than lifted-and-shifted onto rented servers.
Deployment on serverless functions or containers — whichever fits the workload, its traffic shape, and its cost profile.
Capacity follows demand automatically, so traffic spikes are absorbed without anyone being paged at 3am.
Designs that survive the loss of an availability zone or an entire region without taking your product offline.
Cloud spend treated as an engineering metric — measured, attributed per service, and optimised continuously.
Every resource defined in Terraform or CDK — reviewable, version-controlled, and reproducible on demand.
Logging, metrics, tracing, and alerts wired in so problems are visible before your customers report them.
Recovery plans that are written down, implemented, and actually tested — not assumed to work when it matters.
Patterns we build with, and why.
Five architectural decisions that decide whether a system degrades gracefully under pressure or falls over all at once.
Independently deployable services so a failure in one does not affect the others. Each service owns its data and scales on its own.
Services communicate by publishing and consuming events — increasing resilience and decoupling components so changes in one area do not ripple through the system.
Code running on demand — eliminating idle capacity costs for variable-traffic workloads. Pay only for what you use, and scale to zero when idle.
All cloud resources defined in Terraform or Pulumi — version-controlled and reproducible. No manual console configuration that drifts from reality.
Patterns that prevent a failure in one dependency from cascading through the entire system — keeping the rest of the application healthy when one component fails.
Cloud bills that make sense.
Cost is designed in, not discovered later. Right-sizing, serverless economics, reserved pricing, and monitoring from day one mean unexpected spend is caught in days, not at month-end.
Technologies we work with.
We pick the right tool for the job — here's what our teams reach for across every layer.
AWS
GCP
AzureFrom brief to delivery.
Five stages from architecture review to optimisation — infrastructure and application built together, never bolted on afterwards.
We assess your current architecture or design a new one with scalability, cost, and reliability requirements defined upfront. No assumptions — everything documented.
Cloud architecture is designed as code from the start — Terraform or CDK. No manual console configuration that cannot be reproduced. Version-controlled from day one.
Application and infrastructure are built together. CI/CD pipelines are set up before the first deployment. Infrastructure and code ship together.
Logs, metrics, traces, and alerts are configured before any traffic hits the system. You cannot improve what you cannot see — so we instrument everything first.
After the initial build, we review costs, performance, and reliability metrics and make targeted optimisations. Cloud costs compound — early optimisation pays.
Voices from the people we built for.
Dexsof rebuilt a system we'd been promised twice before. They shipped in eleven weeks what two other teams couldn't in eighteen months — and the code is the cleanest I've reviewed in a decade.
Genuine senior engineers. The kind who say 'we shouldn't build that' before we waste a quarter on the wrong thing.
We came for a 6-week prototype. Three years later they still run our core platform.
The team integrated seamlessly with our in-house engineers and elevated the entire output. We shipped on time and under budget.
The mobile app they built has a 4.8-star rating on the App Store. The UX work alone was worth every dollar.
From discovery to deployment in eight weeks. Dexsof is what a modern dev studio should look like.
We brought Dexsof in mid-project to rescue a failing build. They diagnosed the architecture problems in days, refactored the core, and had us back on track within two weeks — without losing a single feature.
Fast and reliable.
Every deadline hit, every estimate accurate. Working with Dexsof felt like having a co-founder with a full dev team behind them.
They picked up our legacy codebase that three other contractors had given up on, cleaned it up, and shipped three new features in the same sprint — all without touching the production schedule. Impressive discipline from the entire team.
Dexsof flagged two architectural issues that would have cost us six months.
Their design and engineering teams worked as one. The result was a product that looked premium and performed even better under load.
Common questions.
Anything not covered here, ask us directly — we answer within 24 hours.
Which cloud provider do you recommend?
AWS for most workloads — largest ecosystem and the most available engineers. GCP for data-heavy and ML workloads. Azure when Microsoft integration is a requirement. We recommend based on your specific needs.
How do you handle infrastructure security?
Least-privilege IAM, network segmentation, secrets management, and security group rules are all part of our standard infrastructure setup — not optional extras.
Can you manage costs as usage scales?
Yes — FinOps practices including reserved instances, spot instances, right-sizing, and usage monitoring are part of our cloud engagements. Cloud costs should scale sublinearly with usage.
What is infrastructure as code and why does it matter?
Infrastructure defined in code (Terraform, CDK) can be version-controlled, reviewed, tested, and reproduced exactly. It eliminates configuration drift and makes disaster recovery reliable.
Let’s talk about it.
Tell us what you are building and we will get back to you within 24 hours — with honesty, not a sales pitch.