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APIS · QUEUES · INFRASTRUCTURE

Infrastructure that fails predictably.

Everything breaks eventually. The difference between a good system and a bad one is whether the failure is contained, visible and recoverable — or whether it takes the whole platform down at two in the morning.

Typed
Contract-first API surfaces
Traced
Request-level observability
Recoverable
Tested restore, not just backup

THE SHORT VERSION

Reliability is designed, not added

Timeouts, retries with backoff, circuit breakers, idempotency, dead-letter queues and graceful degradation are not advanced techniques. They are the baseline, and they are far cheaper to build in than to retrofit after an incident.

We also insist on the unglamorous part: that the restore procedure has actually been run. A backup nobody has restored from is a hypothesis, not a safeguard.

The difference is where the effort goes.

Hope as a strategy

  • One slow dependency stalls every request in the pool
  • Retries without backoff turn a blip into an outage
  • Logs without correlation IDs, so nothing can be traced
  • Backups that have never been restored from

Designed for failure

  • Timeouts and bulkheads so one dependency cannot take the rest down
  • Exponential backoff, jitter and dead-letter queues
  • Structured logs and traces correlated across services
  • A restore procedure that has been rehearsed and timed

WHAT IT INCLUDES

Scope, in plain terms.

Every engagement is shaped to the problem, but this is the ground it typically covers.

  • API design & build

    Contract-first REST services with generated types and versioning.

  • Event-driven systems

    Queues, workers and pub/sub for work that should not happen in a request.

  • Media & batch processing

    Long-running pipelines with progress, resumption and backpressure.

  • Containerisation & deploys

    Docker, CI/CD and repeatable environments from local to production.

  • Observability

    Structured logging, metrics, tracing and alerts that mean something.

  • Cost optimisation

    Finding the resources you are paying for and not using.

What you get

  • Documented API contract with generated client types
  • Containerised services and reproducible environments
  • CI/CD pipeline with automated tests and staged rollout
  • Logging, metrics, tracing and alert routing
  • Runbook, incident checklist and a rehearsed restore

QUESTIONS

The things people ask first.

Which cloud?

We work primarily across GCP and Azure. Where possible we keep the architecture portable so the provider is a deployment detail rather than a lock-in.

Do we need Kubernetes?

Usually not at the start. Managed container services carry far less operational cost until you genuinely need the control.

Can you work alongside our platform team?

Yes. We can build to your existing standards and pipelines, or establish them if there is nothing in place yet.

Need cloud & backend engineering?

Tell us the problem and the constraint. We will tell you what it takes — and whether this is even the right service for it.