We design microservices around the parts of your business, such as orders, billing or dispatch. Each service has a clear owner and a versioned contract, and services share events instead of calling each other for everything, so teams can release on their own schedule.
What's included
6 capabilities, delivered by one squad. Use what you need now and add more as you grow.
Service boundaries drawn around business areas, with a clear owning team for each one.
Versioned APIs and schemas, with backward-compatibility rules so one team's change doesn't break another team's service.
Events, sagas and the outbox pattern keep services loosely linked, and handlers process a repeated message only once.
An API gateway that handles sign-in, rate limits and traffic rules in one place, without slowing requests down.
Timeouts, retries, bulkheads and circuit breakers stop one failing service taking others down, measured against agreed SLOs.
Distributed tracing follows a request across every service, alongside metrics, logs, dashboards and alerts.
Our approach
The usual way
Services overlap, ownership is unclear and one change ripples across the system.
How we do it
We use domain-driven design to draw service boundaries around business areas and give each service one owning team.
The usual way
Synchronous calls everywhere, so one slow service drags down the rest.
How we do it
Services share events by default and call each other only when they must, through versioned APIs that can change safely.
The usual way
Every team monitors its services differently, or not at all.
How we do it
Every service ships with the same tracing, logs, metrics, SLOs and runbook from day one.
Architecture
Each layer has a clear job, so the system is easier to secure, test and extend.
Each service covers one business area, owns its data and has a named team.
One entry point that checks sign-in, applies rate limits and routes each request to the right service.
Services publish and react to events. Sagas manage steps that span services, and the outbox pattern stops events going missing.
Traces, logs, metrics and SLOs that show where a slow or failed request went wrong.
How we deliver
4 phases, each ending with an output you can review.
We map your business areas, how tightly the code is tied together and who owns which data, then agree SLO targets.
Output: Decomposition blueprint
We move the first services out using the strangler pattern: new services take over one route at a time while the old system keeps running.
Output: First services in production
We add event-based workflows, schema rules, the outbox pattern and contract tests that catch breaking changes before release.
Output: Loosely linked workflows
We add tracing, SLOs, alerts and runbooks to each service, and keep the standards up to date as more services are added.
Output: Standards every team follows
Your team
Specialists join your squad for this work, alongside a delivery lead who keeps you updated.
Draws service boundaries, assigns ownership and designs contracts that can change without breaking other services.
Owns schema rules and contract tests, so services keep working together as each one changes.
Sets the shared standards for deployments, retries and timeouts, tracing, alerts and incident response.
Builds secure defaults, secrets handling and supply-chain checks into every service's pipeline.
Trust and control
Every service has the same core metrics, alert rules and on-call standards.
Pipelines check routing, sign-in, secrets and contract changes before anything is deployed.
Every deployment, dependency and change is recorded, so you can trace what is running and where it came from.
You keep full ownership of the code, configuration and documentation we create, with no vendor lock-in.
We pick what fits your product and team, not the other way round.
Results
We helped a logistics company split a growing all-in-one application into separate services for orders, dispatch, tracking, notifications and billing. Each area can now improve and scale on its own.
We redesigned a SaaS company's subscription and billing workflows as separate services for plans, payments, invoices, entitlements and notifications. Processes that affect revenue are now easier to manage and to recover when something fails.
We wrapped a hotel group's ageing PMS in a modern API layer with caching and live sync, so new guest features no longer need risky changes to the core system. It runs at 99.99% availability, with 45ms API responses.
We built an algorithmic trading platform that connects securely to the user's own brokerage account and runs automated strategies. Paper trading lets users test a strategy first, and a live dashboard shows every trade.
Microservices make sense when several teams work on one product and keep blocking each other's releases, or when parts of the system need to scale separately. If one small team runs the product, a well-structured monolith is often simpler. Our domain audit shows whether splitting will pay off before you commit to it.
We draw boundaries around business areas, using domain-driven design to map where data and decisions belong. We also look at which parts change together and which team owns them. For a logistics client, this gave separate services for orders, dispatch, tracking, notifications and billing, so each could improve and scale independently.
Each service publishes a versioned contract for its API and events. Consumer-driven contract tests run in the pipeline, so a change that would break another team's service fails before release. Backward-compatibility rules set how fields are added or retired, and older versions stay available until every consumer has moved.
We default to events where they reduce coupling, so a slow service doesn't hold up the rest. Direct calls through versioned APIs suit requests that need an instant answer. The outbox pattern stops events going missing, and idempotent handlers mean a message delivered twice is only processed once.
Every service ships with distributed tracing, metrics, logs and an SLO from day one. Tracing follows a single request across services, so you can see where it slowed down or failed. Alerts go to the team that owns the service, and each service has a runbook for its common failures.
Cost depends on how many business areas are involved and whether you need design advice only or a team to build the services. Advice on its own can run through our fractional CTO service, and build work through a managed squad on a flat monthly fee. After a first call we give a rough quote range.
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