Monolithic systems slow teams down as they grow. We design microservices architectures that split your platform into independently deployable services — so teams ship faster, scale components separately, and isolate failures instead of risking the whole system.
Every monolith starts simple. The problems begin when teams grow, deployments slow down, and a bug in one module takes down everything else. Here’s what changes when you migrate to microservices.
Every microservices architecture we design is built on four non-negotiable principles — correctly defined service boundaries, true independent deployment, genuine fault isolation, and team autonomy that actually accelerates delivery.
The most important decision in microservices architecture is where to draw the service boundaries. Too fine-grained and you create a distributed monolith with all the complexity and none of the benefits. We apply Domain-Driven Design principles to identify bounded contexts — aligning each service with a business capability, not a technical layer.
True independent deployment requires more than splitting the code — it requires each service to have its own deployment pipeline, its own data store, versioned APIs, and backward compatibility contracts. We design the deployment architecture so any service can release at any time without coordination or regression risk.
In a microservices architecture, failures should be contained, not contagious. We implement circuit breakers, bulkheads, timeouts, and retry policies so a degraded payment service doesn’t cascade into user service, auth, or your entire platform. Each service fails gracefully — and the rest keep running.
Conway’s Law states that systems mirror the communication structures of the organisations that build them. We align service ownership to team structure — so each team owns, deploys, and operates their own services end-to-end, without waiting for other teams or centralised release coordination.
Every architecture we design is tailored to your domain — but here’s the layered approach we use, from client-facing API gateway through to the service mesh and event backbone.
From domain modelling and service boundary definition to API gateway design, event-driven communication, and full observability — everything needed to move from monolith to microservices safely.
We apply Domain-Driven Design to map your business domain — identifying bounded contexts, aggregates, and domain events — then define service boundaries that align with business capability rather than technical concerns.
API gateway design for external routing, auth, rate limiting, and load balancing — plus service mesh configuration for internal service-to-service communication, mTLS, observability, and traffic management.
Async communication patterns using event buses and message queues — event schema design, topic strategy, consumer group architecture, and saga patterns for distributed transactions without tight coupling.
Each service owns its own data store — choosing the right database type for each use case (relational, document, cache, search) — with CQRS patterns and event sourcing where appropriate for read/write separation.
Circuit breakers, bulkheads, timeouts, retry with exponential backoff, and graceful degradation — implemented at the service mesh or application level to contain failures and prevent cascade effects across the system.
End-to-end distributed tracing across all services, centralised logging with correlation IDs, service dependency mapping, and per-service metrics dashboards — so you can debug across service boundaries in production.
Our microservices design methodology — refined across 60+ architecture engagements — avoids the most common migration pitfalls. Click each stage to explore.
Business domain mapping & event identification
Bounded contexts, coupling analysis & API contracts
Gateway, mesh, messaging & data strategy
Extraction sequence, proxying & coexistence plan
Circuit breakers, tracing & health monitoring
Service ownership, on-call & governance
We facilitate event storming workshops with your domain experts — mapping business processes, identifying domain events, commands, and aggregates — building the shared understanding needed to design correct service boundaries.
The four principles behind every microservices design we deliver — and why our clients avoid the common pitfalls that make microservices harder than the monolith they replaced.
The most expensive microservices mistake is wrong service boundaries. We spend significant time on domain modelling and event storming before designing any service boundary — because a bad cut costs 10x more to fix later than to get right upfront.
We never recommend rewriting your entire system. The strangler fig pattern lets you extract services incrementally — one domain at a time — while the monolith keeps running. Lower risk, earlier value, and no big-bang migration that freezes feature development.
Unlike pure architecture consultants, Intellihub can implement every service we design. Our engineering teams understand the constraints of real delivery — and our architecture decisions are grounded in what can actually be built and operated by your team.
Microservices are harder to debug than monoliths without the right tooling. We design observability in from the start — distributed tracing, correlation IDs, structured logging, and service health dashboards — so your team can debug across service boundaries in minutes, not hours.
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