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Microservices Architecture

Split a growing system into services that teams can build, deploy, and scale independently — without losing reliability. I design the boundaries, contracts, and platform around them so every service stays observable and safe to change.

Service boundaries mapped across code

What this service entails

Small services, clear ownership, calm on-call.

Most microservices projects fail at the boundaries, not the code. I start with domain modelling workshops, map bounded contexts to your teams, and define versioned API contracts before a single container ships. Data stays owned per service, with events — not shared databases — connecting them.

The result: deploys that don't require a release train, failures that stay inside one blast radius, and new engineers who can understand one service at a time.

What's included

Domain & boundary design

Bounded contexts, context maps, and service cut plans sized to your teams.

API contracts & events

Versioned REST/gRPC contracts, schema registries, and event-driven integration.

Data per service

Database-per-service patterns, sagas for distributed transactions, safe migrations.

Observability baseline

Tracing, structured logs, and golden-signal dashboards from day one.

How we get there

  1. 01

    Discover

    Workshops, codebase tour, and pain-point mapping with your team.

  2. 02

    Design

    Service cuts, contracts, and data boundaries reviewed together.

  3. 03

    Build

    Reference service, shared libraries, and CI scaffolding your team reuses.

  4. 04

    Roll out

    Incremental extraction with strangler routes and rollback plans.

Common questions

As few as possible — usually two or three extracted around the clearest boundaries. We prove the pattern, then let your teams continue the splits.

Yes — pairing and reviews are built in, so your engineers own the architecture confidently after handover.

Spring Boot, Node.js, and Go services on Docker and Kubernetes, with Postgres, MongoDB, and Kafka where they fit.