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Research report
AI Does Not Remove the Bottleneck
Find your real workflow constraints before buying AI tools.
Cloud Engineering
Cloud is where systems run. Architecture decides how they scale.
We design cloud environments around applications, products and teams so technology can evolve without unnecessary complexity.
Clients we've worked with
What cloud projects usually get wrong
Selected work
Technology platforms and applications built with cloud, software engineering and modern infrastructure practices.
An enterprise strategy software ventureInfrastructure first, features second.Strategic scorecarding, assessments and innovation pipelines as separately licensable modules, on infrastructure built before feature one.3 productslicensable separately on one multi-tenant platformRead the case
A US remote-monitoring healthtechSupporting rehabilitation after dischargeRemote therapeutic monitoring built so the billing qualification cannot be faked, with an AI care plan no patient sees unapproved.15 mina day for a physician to review a full patient panelRead the case
A Los Angeles private car serviceTurning every call into a booking.Phone and web bookings answered by AI, written straight into the dispatch system, then rebuilt as a product other operators can buy.24/7booking cover on phone and chat, with nobody on the lineRead the caseWhat we build with
Cloud platforms
- AWS
- AWS EKS
- Vercel
- Railway
Infrastructure
- Terraform
- Docker
- Jenkins
Application systems
- Next.js
- NestJS
- FastAPI (Python)
- PostgreSQL
- Redis
Why SDTC?
Cloud decisions stay connected to the applications, products and teams that depend on them.
600+
Products delivered
15
Years in business
70+
Countries reached
100+
Team members
Questions we get asked
Do we need to move everything to cloud?
Not necessarily. The right approach depends on the workload, business goals, security requirements and operational constraints. Some systems benefit from migration, some need modernisation first, and some may remain in their current environment. The decision should be based on what improves the business outcome.
What is the difference between migration and modernisation?
Migration moves an existing workload to a different environment. Modernisation changes the application, architecture or operating approach so it can take better advantage of that environment. Many organisations need both, but they are different decisions with different risks.
Should every application become cloud-native?
No. Cloud-native approaches can provide advantages around scalability, deployment and operations, but they also introduce architectural decisions and operational responsibilities. The right approach depends on the product, workload, team capability and expected future needs.
How do you approach cloud cost optimisation?
Cloud cost is influenced by architecture, workload behaviour, storage, data transfer, infrastructure choices and operational practices. We look at how systems actually run, then identify opportunities to improve efficiency without compromising reliability or product requirements.
Do cloud applications always need microservices?
No. A modular application can often be the better choice for products that need speed and maintainability. Microservices become useful when independent deployment, scaling requirements, domain boundaries or team structure justify their additional complexity.
Can you modernise an application already running in cloud?
Yes. Being hosted in the cloud does not automatically mean an application is designed effectively for cloud environments. We can improve architecture, deployment processes, infrastructure automation, observability and reliability while keeping the application operational.
How does cloud support AI applications?
AI workloads introduce additional requirements around data, compute, storage, model access, monitoring and cost management. Cloud architecture needs to support these requirements while maintaining security, performance and operational control.
Can you work with our existing engineering team?
Yes. SDTC can support internal teams through cloud architecture, implementation, modernisation initiatives or extended engineering capability. The engagement model depends on the organisation's existing skills, ownership model and technology roadmap.
How we deliver
Five phases, each ending in a measured result.
Review
We audit spend, architecture and the well-architected gaps, and size the opportunity.
You getA costed findings report and a savings forecast
Design
Landing zone, network and identity model, with the cost model attached.
You getArchitecture decision records and a target-state diagram
Migrate
Workloads move in waves, each with a rollback path and a measured result.
You getMigrated workloads with before-and-after cost figures
Optimise
Right-sizing, commitment discounts and the alerting to stop the bill drifting back.
You getBudget alerts and a tagging policy your finance team can read
Hand over
Your team runs it. We document, train and stay available while that beds in.
You getTerraform in your repository, plus runbooks and training
What's trending
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Partners in delivery
AI Cloud PartnerPartner Network
Homfy
I'm Alex from Homfy and worked with them to build our service-based app for homeowners and tenants. They guided me through the entire 12-week MVP development, handled everything from design to features, and made the process clear and easy. I invested around $50,000 and feel they've been like part of my own team. I'd definitely recommend them to any startup.
