All expertise

Distributed systems your team can operate.

Infrastructure must handle demand, limit incident propagation and provide the traces needed for diagnosis. We design APIs, services and asynchronous processing around their failure modes and operational constraints.

Java · Rust · AWS / GCP · Observability

Reliability

Explicit timeouts, idempotent operations and recovery strategies that match your business.

Security

Authentication, authorisation and validation at system boundaries. Secrets stay on the server.

Cost & evolution

Choose simplicity while it serves the purpose. Document trade-offs, measure actual loads and prepare migrations.

Capacity model · synthetic data

Survive a failure. Know the limit.

HTTP / async
Entry pointHTTPS · 96 req/s
Load balancerHealth check / exclusion
Instance A60 req/s
Instance B60 req/s
Instance CNot started
Durable queue → workerDeferred work · idempotent recovery
Shared storageRequires its own resilience strategy
Demand
96 req/s
Served
96 req/s
Rejected
0 req/s
Capacity meets demand.
Healthy instances share incoming requests. Deferred work goes through a durable queue.

What your team receives.

  • Documented architecture and decisions
  • APIs and services within scope
  • Agreed deployment and observability
  • Maintenance and handover plan

Custom quote. Hosting, third-party licences and ongoing maintenance are specified separately.

Let's discuss your project

What problem do you want to solve?

A product to launch, a system to recover, an integration to build. Share the context: we'll start with the right questions.

Let's discuss your project