Service

Cloud architecture for growing, maintainable systems.

We design cloud platforms with clear boundaries, microservice patterns, and operating models that hold up in practice — the foundation AI use cases and software applications can run on safely and at scale.

Not sure which engagement fits best? Compare all service areas on the overview page. View service overview

Workstreams

Typical workstreams

We structure the engagement into clear, self-contained workstreams to make progress measurable and identify risks early.

Platform design and architecture

Definition of service patterns, boundaries, deployment strategies, and cloud service selection.

Scaling and reliability analysis

Performance strategies, high-availability planning, and disaster recovery design.

Operating models and governance

Clarity on ownership, security foundations, and change management processes.

Results

Typical outcomes

  • Clearer architecture and operational ownership
  • Better scalability and maintainability
  • Reduced operational complexity
Stack

Typical technologies

Azure AWS Kubernetes Microservices .NET Docker
Engagement

How we engage

We work through workshops with your team, document decisions, and prepare the groundwork for implementation.

Relevant work

Case examples from similar engagements

View all work
Automotive 2022 – present

Open-Source Data Ecosystem – Catena-X

Developed key components for a collaborative automotive data ecosystem: Policy Hub for managing interface policies, SSI Credential Issuer for verifiable credentials, and Authority Schema Registry. Organised community meetings and onboarded new contributors.

Automotive 2025 – 2026

Data Space Cockpit

Designed and built a web application for creating, managing, and monitoring digital contracts and EDC data exchange policies. Microservice architecture with full infrastructure-as-code implementation on AWS.

The next sensible step

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