Cloud infrastructure and APIs that hold up
Migrations that finish, infrastructure you can reason about, and APIs other teams can build against without asking you how they work.
What's included
- Cloud migration & DevOps
- Scalable API design
- Microservices & serverless
- Monitoring & cost optimization
Lower run cost
Right-sized compute, storage lifecycle rules and reserved capacity, with the savings tracked monthly.
Faster releases
Automated pipelines take deployment from a scheduled event to something that happens several times a day.
Real resilience
Failover and backups that have been tested by restoring them, not just configured.
How we deliver cloud and API work
Cloud projects go wrong in two directions: a lift-and-shift that just moves the old bill to a new provider, or a rebuild so ambitious it never lands. We plan migrations in stages that each stand on their own, so the business keeps running and every phase is independently worth doing.
On the infrastructure side that means infrastructure-as-code rather than hand-clicked consoles, environments that can be rebuilt from scratch, deployment pipelines with real rollback, and monitoring that tells you a service is degrading before a customer does.
On the API side it means contracts first. Versioned, documented, authenticated interfaces with sensible rate limits and error semantics. That is the difference between an integration a partner completes in a day and one that generates a month of support email.
Technologies we use
- AWS
- Azure
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- PostgreSQL
- GraphQL
We pick tools for the problem, not for the CV. If something simpler does the job, we will say so.
Common reasons clients ask for cloud and API work
Data-centre exit
On-premise workloads moved to AWS or Azure in tranches, with the fallback path kept open until each one is proven.
Monolith decomposition
The parts of a monolith that need to scale independently pulled out as services, with the rest deliberately left alone.
Public or partner APIs
A documented, versioned, rate-limited API surface with developer docs and sandbox keys.
Cloud bill under control
A costed audit of what is actually running, followed by the changes that shrink the bill without risking availability.
A clear path from idea to impact
A transparent, proven process that keeps you in the loop at every step.
Discover
We dig into your goals, users, and constraints to define the right problem before writing a line of code.
Design
Architecture, UX, and a clear delivery plan, so everyone knows what we're building and why.
Build
Agile, transparent engineering with continuous demos, quality gates, and no surprises.
Grow
We launch, measure, and iterate to improve the product as your business scales.
What clients ask about cloud and API work
Can you migrate us without downtime?
For most workloads, yes. We run the new environment alongside the old one, replicate data, and cut over behind a load balancer or DNS change with a tested rollback. Genuinely stateful systems sometimes need a short planned window, which we agree with you in advance.
Should we use AWS or Azure?
Whichever fits your team and commitments. Azure usually wins where there is an existing Microsoft estate and licensing to reuse; AWS where breadth of managed services matters. We will tell you if the honest answer is that it makes little difference and you should pick on price.
How much can we realistically save on cloud costs?
Environments that have grown without review commonly carry 20-40% waste: idle instances, oversized databases, storage that was never lifecycled. We quantify it in an audit first, so you see the number before committing to the work.
Do you provide ongoing operations?
Yes. We can run the platform under a support agreement, or set it up and train your team to operate it. Either way the infrastructure is defined as code, so nothing depends on knowledge that only we hold.
Often delivered alongside this
Teams that come to Vurtix for cloud and API work usually need one of these too.