Cloud Native Engineering.

Cloud architecture shaped by the product and its workload.

Our cloud engineers design and build products with containers, microservices and automated delivery. Architecture and infrastructure are specified first, so AI-assisted build work stays consistent, reliable and cost-aware.

01 · What we deliver

Cloud applications designed to grow with the product.

Traffic & routingAvailability zone AAPIsWorkersEventsAvailability zone BAPIsWorkersEventsDelivery & observabilityComputeStorageNetwork
Traffic & routingZone AAPIsWorkersEventsZone BAPIsWorkersEventsDelivery & observabilityComputeStorageNetwork
  1. 01

    Build for the cloud

    Applications built around the services available on the chosen cloud platform.

  2. 02

    Scalability & resilience

    Applications that adjust capacity to demand, with recovery plans for service failures.

  3. 03

    Resource & cost efficiency

    Lean architecture with containers and microservices, deploying resources only where needed.

  4. 04

    Security from the codebase up

    Use cloud security controls from the start, with access policies and protection built into the application.

  5. 05

    Reduce resource use

    Cloud-native strategies that reduce the carbon footprint of digital operations.

  6. 06

    DevOps, CI/CD & infrastructure as code

    Automated pipelines and infrastructure as code, with AI-drafted templates reviewed against the spec, for fast iteration and quick feedback.

Cloud software built for ongoing operation and development.

Design the architecture, guide implementation and own operational readiness. Draft implementation and infrastructure templates against the architecture spec, prepare code reviews and generate tests.

How we build

02 · Our approach

Engineering in practice.

  1. 01

    Assess & blueprint

    We review architecture, workflows and goals, then write the target architecture as a spec.

  2. 02

    Design & develop

    Applications and systems built from the ground up for the cloud with cloud-native tools, with AI drafting code and infrastructure against the spec.

  3. 03

    Deploy & scale

    Deploy applications with the capacity and recovery measures their workloads require.

  4. 04

    Monitor & evolve

    Use monitoring and production feedback to find problems and guide improvements.