Structural Integrity
_Blueprint of Resilience.
We design distributed systems that handle ten million events per day and keep working when components fail. Domain-Driven Design, event sourcing, CQRS, and C4 architecture modelling — applied to systems that need to be correct under real production load, not just in diagrams.
The Design Garden
Order from Complexity.
A Karesansui — the Japanese Zen garden — represents the vast complexity of nature through a few carefully placed stones and raked sand. Nothing is accidental. Every element carries meaning. We design software systems the same way: each bounded context, event stream, and service boundary placed deliberately, with explicit trade-offs documented in Architecture Decision Records. The result is a system your team can reason about, explain to a new hire, and safely evolve for years.
- Every architectural decision documented — why, not just what
- Trade-offs made explicit — no accidental complexity
- Systems designed to be replaced, not just extended
Architecture Spectrum
The Right Shape for Your Scale.
There is no universally correct architecture. There is only the architecture that matches your current scale, team size, and growth trajectory — and a clear migration path to the next shape.
Start Simple
For teams under 10 engineers and products under 100k daily active users, a well-structured monolith ships faster, costs less to operate, and is easier to refactor when the business model clarifies. We design the internal module boundaries so the extraction into services, when it comes, is surgical — not a rewrite.
Scale with Intent
Service decomposition pays when bounded contexts have clearly different scaling curves, different deployment frequencies, or different team ownership. We identify the fault lines — not by following a microservices playbook, but by analysing your actual load patterns and organisational constraints.
Domain-Driven Design
The Language of Your Business.
Software that mirrors the domain it serves is software that product managers, domain experts, and engineers can reason about together. We use DDD to build that shared language.
Bounded Contexts
Clear ownership boundaries where each context has its own model, language, and data store. No shared databases. No implicit coupling.
Aggregate Roots
Domain entities that protect business invariants atomically. Only one aggregate per transaction. Strong consistency where it matters.
Domain Events
Typed, versioned events that cross context boundaries. The audit trail of your business — immutable, replayable, observable.
Sagas & Process Managers
Long-running business processes coordinated across bounded contexts without distributed transactions. Choreography for simple flows, orchestration for complex ones.
Design Patterns
Proven Solutions to Known Problems.
We apply battle-tested distributed systems patterns — chosen for your specific context, not applied dogmatically.
CQRS
Command and Query Responsibility Segregation: separate models for writing and reading. Commands enforce business rules; queries optimise for presentation. Independent scaling, independent evolution.
Event Sourcing
The aggregate state is derived by replaying an immutable event log. Full audit trail, temporal queries, and the ability to replay history through new projections — without schema migrations.
Saga Pattern
Distributed business processes without distributed transactions. Choreography via events for loose coupling; orchestration via a process manager for explicit visibility. Compensating transactions handle failures gracefully.
API Gateway
Single entry point for all external traffic. Authentication, rate limiting, routing, and protocol translation in one layer — so individual services stay pure to their business logic.
Circuit Breaker
Automatic fault isolation that stops a degraded downstream from cascading into a system-wide outage. Closed, open, and half-open states managed by Polly with configurable thresholds.
Strangler Fig
Incremental migration of legacy systems without a big-bang rewrite. New functionality built alongside existing code; traffic shifted progressively via a proxy until the legacy is fully replaced.
C4 Modelling
Every Stakeholder. Right Level of Detail.
C4 gives us a common vocabulary for architectural communication — from executive overview to implementation guide, in four zoom levels.
Context
The big picture: who uses the system and what external systems does it touch? One diagram that any stakeholder can read in 60 seconds.
Containers
Technology choices, service decomposition, and data ownership. Where does the code run? What does each piece own? How do they communicate?
Components
Internal structure of a container: application layers, CQRS separation, domain aggregates, and ports & adapters. Where design decisions become code.
Code
Class and function level, generated from code where possible. Used selectively for the most complex or critical components — not as documentation overhead.
Quality Attributes
Resilience is Designed, Not Hoped For.
Non-functional requirements are not afterthoughts. They are architectural constraints that shape every design decision from the first session.
Scalability
Horizontal pod autoscaling on GKE, Cloud Spanner for globally distributed data, and stateless service design that scales to 10× traffic without code changes.
Reliability
Multi-zone deployment, circuit breakers at every external call, graceful degradation strategies, and chaos engineering to validate assumptions under failure conditions.
Performance
P99 latency targets defined at design time, not measured in production. Read models optimised for queries, write models optimised for correctness. Redis for hot paths.
Security
Zero-Trust service mesh with Workload Identity. Encrypted inter-service communication via mTLS. Secrets in Secret Manager, never in environment variables or config files.
Maintainability
Architecture Decision Records document every trade-off. Module boundaries enforced by architecture tests. Dependency rules validated in CI — so the structure does not silently erode.
Observability
OpenTelemetry distributed traces across every service boundary. SLO-based alerting. Dashboards built from day one — so the team sees the system's health before users do.
Engagement Outputs
Documents That Drive Development.
Architecture Documentation
C4 diagrams at all four levels, Architecture Decision Records for every significant design choice, and a glossary of ubiquitous language. Living documents, versioned alongside code.
Implementation Blueprint
Detailed data models, service interface contracts (OpenAPI + AsyncAPI), sequence diagrams for complex flows, and an annotated reference implementation for the first bounded context.
Operational Runbook
Deployment guide, SLO targets with measurement methodology, incident playbook, capacity planning model, and on-call escalation procedures. Everything your SRE team needs from day one.
The Tooling
Industry-Standard Design Stack.
Case Studies
Proven Expertise.
Growing beyond what your current system can handle?
Let's audit your existing architecture, identify the fault lines before they become outages, and design a target system that supports your next decade of growth.