Enterprise Systems
Backend systems that scale with your business — not systems that require a rewrite every time you double your user base. We've migrated monoliths, designed greenfield platforms, and rebuilt systems that couldn't handle load.
Built for the Load You'll Have
We design for the load you'll have in 18 months, with the operational complexity you can manage today. Microservices, event-driven architecture, distributed systems, and Kubernetes-native infrastructure — built for reliability and designed so your own engineers can understand and extend it.
Systems that grow with your business. We design for future load without introducing operational complexity you can't manage today.
Zero-downtime migrations. We use strangler-fig patterns, feature flags, and shadow traffic to decompose and migrate running systems without outages.
Observability from day one. Every service we build ships with structured logging, distributed tracing, and alerting. You can't fix what you can't see.
Your team inherits something they can own. Every design decision is documented, every service boundary is reasoned, and the code is written to be maintained — not just to ship.
Capabilities
Stack
Backend Specialisations
Six practice areas covering the full range of enterprise-grade backend engineering.
Microservices Architecture
Service decomposition that draws boundaries at the right seams — not just splitting a monolith arbitrarily. We design for independent deployability, fault isolation, and team ownership from the start.
Service decomposition · API contracts · Inter-service communication · Saga patterns
Event-Driven Architecture
Asynchronous systems built around durable event streams — decoupled producers, resilient consumers, and the dead-letter and replay infrastructure to handle failures gracefully.
Event sourcing · CQRS · Kafka topics · Consumer groups · Dead-letter handling · Replay
High-Throughput API Design
APIs designed for the traffic patterns they'll actually see: rate limiting, caching strategies, pagination, and contract versioning that doesn't break existing consumers every time you ship a new field.
REST APIs · GraphQL schemas · gRPC services · API versioning · Rate limiting · Caching
Monolith Decomposition
Live migrations using strangler-fig patterns, shadow traffic, and feature flags — decomposing running systems without downtime or a risky big-bang cutover that keeps your CTO awake.
Strangler fig · Feature flags · Shadow traffic · Dual-write patterns · Cutover coordination
Database Architecture
Data layer design that matches the access patterns — relational for consistency requirements, document stores for flexibility, caches for latency, and time-series or wide-column for analytical workloads.
Schema design · Indexing strategy · Query optimisation · Sharding · Replication · Migrations
Distributed Systems
Systems that handle partial failures, network partitions, and eventual consistency without silently corrupting data. We design idempotency, consensus, and retry semantics into the architecture — not patched in later.
Idempotency · Circuit breakers · Distributed locks · Consensus protocols · Graceful degradation
Scaling Problem or Architecture Rethink?
Tell us where you are — monolith, performance ceiling, or greenfield. We'll scope the right architecture for what you're building next.