Service
Microservices Architecture Transformation
Instead of rewriting your monolith in one go, we decompose it along business domains and move it to microservices incrementally. Production never stops; every step is measured and can be rolled back.
Why now
If these symptoms sound familiar
- A small change requires rebuilding and redeploying the whole application.
- Deployment days are marked as "risky days" on the calendar.
- Teams wait on each other in the same codebase; delivery speed drops.
- Under load, a single module slows down or takes down the entire system.
- Adopting a new technology means "rewriting everything from scratch".
Highlights
- Service boundaries with Domain-Driven Design
- Incremental migration with the Strangler Fig pattern
- Event-driven integration (Kafka, RabbitMQ)
- API gateway, service discovery and resilience patterns
Scope
Scope and deliverables
Every item is adapted to the scope and priorities agreed together after the assessment.
- 01
Architecture assessment
We analyse the codebase, dependency graph, data model and deployment processes, and map technical debt and risk.
- 02
Domain modelling (DDD)
Bounded contexts, service boundaries, ownership and API contracts are defined together with the business units.
- 03
Incremental decomposition
Low-risk modules are extracted first using the Strangler Fig pattern; an anti-corruption layer keeps the legacy system running safely alongside.
- 04
Data decomposition
From a shared database to data ownership per service; CDC, the outbox pattern and, where needed, event sourcing.
- 05
Integration layer
API gateway and service discovery; synchronous (REST, gRPC) and asynchronous (Kafka) communication; circuit breaker, retry and timeout patterns.
- 06
Delivery pipeline
Containerisation, CI/CD, automated test layers; canary and blue-green deployment strategies.
- 07
Observability
Distributed tracing with OpenTelemetry, centralised logging and SLO-based alerting rules.
Outcomes
What changes after the transformation
Independent deployment
Each service ships at its own pace, without waiting for the others.
Team autonomy
Teams organised around business domains own their services end to end.
Selective scaling
Only the services under load scale; resource cost follows actual demand.
Fault isolation
Resilience patterns keep a problem in one service from affecting the whole system.
Technology
Technologies we work with
Technology choices follow your existing ecosystem and your team's skills; the list above shows our experience, not our preferences.
FAQ
Frequently asked questions
Do you rewrite everything?
No. Instead of a big-bang rewrite we keep the existing system running and extract modules one at a time, chosen by business value and risk. Old and new run side by side for a while.
Where does our own team fit in?
At the centre. We work with your team from domain modelling workshops to code reviews; by the end of the project your team owns the services.
Is Kubernetes mandatory?
Not mandatory, but we recommend it because it is the most mature platform for managing the operational load of microservices. We can plan both services together or separately.
How long does it take?
It depends on scope. The assessment phase takes a few weeks; the first pilot service usually reaches production within the first quarter and the transformation expands incrementally from there.
Assessment for Microservices Transformation
Let's assess your current system in one call and come back with a risk map and a possible roadmap.