Software Development

Cloud-native applications built for AWS. Legacy modernization through to event-driven systems, with security and delivery automated from the start.

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Whether you are starting from scratch or evolving systems that already carry load, the approach is the same. JavaScript, TypeScript and Python, with testability designed in rather than added afterwards.

Legacy modernization

Refactoring, replatforming or containerizing, chosen per workload rather than applied as a blanket policy.

Isometric illustration of a digital cloud above a laptop with code, showing data exchange via an arrow.

Automated delivery

CI/CD pipelines on AWS CodePipeline, GitLab CI/CD or GitHub Actions, covering test execution through to infrastructure provisioning. Every environment built the same way, every time.

Abstract illustration of a data flow concept with gears, cubes, and a central cylinder in blue tones.

Security in the pipeline

Threat modeling, automated vulnerability scanning and compliance checks run inside the pipeline, not as a review gate at the end.

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Containers and serverless

Containers where you need portability and control, Lambda where you need agility and low idle cost. The workload decides, not a house preference.

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Event-driven architecture

EventBridge, SQS and SNS to decouple services, so one slow component does not take the rest of the system down with it.

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Testing and safe releases

Layered tests plus blue/green and canary rollouts, so a bad release reaches a fraction of traffic instead of all of it.

A cyclical process diagram with stages: Plan, Analyse, Design, Implement, Test, Deploy, Maintain. Arrows connect each stage in a flow.

Not every project starts clean

Tell us what you are working with and we will tell you what is realistic.