Microservices Architecture
Service boundaries drawn around real business capabilities, and honest advice when a monolith is better.
Read moreApplications designed for the platform they run on, rather than lifted onto it afterwards.
Cloud-native is less about containers than about assumptions: that instances disappear without warning, that configuration comes from the environment, that state belongs in a managed service, and that every request can be traced. Applications built on those assumptions are cheaper to run and far less dramatic to operate.
We build new services this way and help teams retrofit the pattern onto existing ones, without insisting on a rewrite where a targeted change would do.
Databases, queues and caches run as managed services so your team maintains applications, not infrastructure.
Structured logs, metrics and traces built in, not retrofitted after the first production incident.
Autoscaling and right-sized baselines so quiet periods cost close to nothing.
Health checks, graceful shutdown and rollback that has been tested rather than assumed.
Service boundaries, data ownership and integration points agreed before code is written.
Repository, pipeline, environments and observability stood up first, so the first commit deploys.
Iterative delivery with working software in staging throughout, not a single release at the end.
Runbooks, alerts and a supported handover to whoever owns the service afterwards.
No. A well-built single deployable following these principles beats a distributed system a small team cannot operate. We recommend microservices only when there is a specific reason.
Yes, and that is usually the better outcome. Pairing and review transfer the patterns far more effectively than a finished handover.
We work with what your team can maintain. Where there is no constraint we default to TypeScript, Python or Go on managed container services.
Service boundaries drawn around real business capabilities, and honest advice when a monolith is better.
Read moreProduction Kubernetes with sane defaults, guardrails and documentation — or honest advice that you do not need it.
Read moreA pipeline that verifies, builds once, promotes the same artefact, and proves the deployment worked.
Read moreWe will tell you what we would do, roughly what it costs, and whether it is worth doing yet.