Microservices
Architecture
Service decomposition, API gateway design, and event-driven communication — architected around your actual business domains, not a big-bang rewrite.
End-to-End Microservices Architecture
From boundary design to production observability — every layer of a microservices system, done deliberately.
Service Decomposition Strategy
Break a monolith into services along real business boundaries, not arbitrary technical lines.
- ✓ Domain-driven design (DDD) boundary mapping
- ✓ Strangler fig migration planning
- ✓ Data ownership per service
- ✓ Shared-nothing vs shared-database evaluation
- ✓ Team topology alignment (Conway's Law)
API Gateway & Edge Design
A single, well-designed entry point instead of clients calling a dozen services directly.
- ✓ API gateway selection & deployment (Kong, NGINX)
- ✓ Request routing & aggregation
- ✓ Rate limiting & throttling policy
- ✓ Authentication/authorization at the edge
- ✓ API versioning strategy
Service Mesh & Communication
Reliable, observable service-to-service communication without every team reinventing retries.
- ✓ Service mesh evaluation (Istio, Linkerd)
- ✓ Synchronous (REST/gRPC) design
- ✓ Asynchronous (Kafka/RabbitMQ) design
- ✓ Circuit breaking & retry policy
- ✓ mTLS between services
Observability & Distributed Tracing
Understand what happened across ten services when something goes wrong in one.
- ✓ Distributed tracing (OpenTelemetry, Jaeger)
- ✓ Centralised structured logging
- ✓ Per-service SLOs & dashboards
- ✓ Correlation IDs across service calls
- ✓ Dependency mapping
CI/CD Per Service
Each service deployable independently, without a release train blocking the whole system.
- ✓ Independent build & deploy pipelines
- ✓ Contract testing between services
- ✓ Canary & blue-green rollout per service
- ✓ Feature flags for gradual rollout
- ✓ Rollback strategy per service
Data Consistency Patterns
Correctness across services without relying on distributed transactions.
- ✓ Saga pattern for distributed transactions
- ✓ Event sourcing where appropriate
- ✓ CQRS for read/write separation
- ✓ Eventual consistency design review
- ✓ Idempotency key design
Boundaries First, Then Infrastructure
Most microservices efforts fail because the service boundaries are wrong, not because the tooling is wrong. We spend the time upfront that most teams skip.
Microservices Are a Means, Not the Goal
We'll recommend against decomposition when a well-structured monolith solves your actual problem. The goal is independent scaling and deployment where you need it, not architectural fashion.
Strangled, Not Rewritten
The monolith keeps serving traffic throughout the migration. Services are extracted incrementally, each one shippable and reversible on its own.
Observable From Day One
Distributed tracing and correlation IDs are part of the initial design, not something bolted on after the first cross-service incident nobody could debug.
Aligned to Your Team, Not Just Your Code
Service boundaries that ignore team structure create constant cross-team coordination overhead. We design boundaries your organisation can actually own.
Platforms & Tools We Work With
How We Design & Migrate
Architecture Assessment
Current system, team structure, and pain points reviewed. Honest recommendation on whether microservices actually solve your problem.
Boundary & Roadmap Design
Service boundaries mapped to business domains; a phased decomposition roadmap built — not a big-bang rewrite.
Build & Migrate
Services extracted incrementally using the strangler fig pattern, with the monolith and new services running side by side safely.
Operate & Evolve
Observability, on-call runbooks, and architecture review cadence established so the system stays coherent as it grows.
Common Questions
Thinking About
Breaking Up the Monolith?
Let's assess whether microservices actually solve your problem before you commit to a migration.