DIST.1
Service architecture
Decompose systems around ownership, change, and failure boundaries rather than arbitrary technical layers.
- Bounded service design
- API and contract strategy
- Service mesh and gateways
- Compatibility planning
Service / DIST
Systems that retain their shape under load.
We design distributed software around the realities of networks, partial failure, concurrent change, and operational pressure. Architecture decisions are explicit, observable, and tested before scale turns assumptions into incidents.
Capability system
The work required to move from intent to operation.
Capabilities are composed around the operating problem. Each can stand alone or form part of a governed programme.
DIST.2
Event-driven systems
Build asynchronous pipelines that decouple producers and consumers while preserving ordering, replay, and correctness.
- Message and event architecture
- Event sourcing and CQRS
- Idempotent consumers
- Schema evolution
DIST.3
Data & consistency
Choose replication, partitioning, transactions, and cache behaviour through explicit business consistency requirements.
- Sharding and replication
- Transaction strategy
- Cache coherency
- Data ownership
DIST.4
Performance engineering
Measure and improve latency, throughput, resource use, and contention across the complete request path.
- Load and soak testing
- p95 and p99 budgets
- Hot-path profiling
- Capacity modelling
DIST.5
Resilience & recovery
Engineer failure handling and prove recovery behaviour through controlled exercises rather than documentation alone.
- Circuit breakers and bulkheads
- Retry semantics
- Failover design
- Restore exercises
DIST.6
Observability & operations
Connect traces, metrics, logs, service objectives, and alerts so teams can diagnose behaviour from evidence.
- Distributed tracing
- Structured telemetry
- SLOs and error budgets
- Incident runbooks
Delivery model
Technical depth with executive visibility.
Scope, technical decisions, risk and handover stay visible across the complete engagement.
01
Align
Define the outcome, constraints, authority and evidence required for a sound decision.
02
Architect
Design system boundaries, integration, security and the delivery path before committing to scale.
03
Deliver
Build in controlled increments and test the assumptions that carry the greatest consequence.
04
Operate
Instrument production, transfer ownership and improve the system from operating evidence.
Operating application
Applied to concrete decisions.
The technology matters only when it improves a real operating path with defensible evidence.
Digital platforms
High-volume transaction services
Support variable demand and important workflows without coupling every component to the same failure domain.
Data-intensive systems
Event and data pipelines
Move and process large streams of events with replay, lineage, and back-pressure built into the design.
Platform modernisation
Monolith decomposition
Separate systems gradually using business boundaries, compatibility contracts, and measurable migration stages.
Critical operations
Resilience programmes
Identify single points of failure, improve recovery, and make system health visible to engineering and operations.
Engineering position
Standards that govern delivery.
01
Design for partial failure
Networks partition and dependencies time out. Degraded behaviour and recovery paths are first-class architecture concerns.
02
Measure before optimising
Performance work begins with workload evidence, tracing, and profiling—not intuition about where the bottleneck might be.
03
Make trade-offs explicit
Consistency, availability, latency, cost, and complexity are documented so future teams understand what was chosen and why.
Related practices
Connected engineering disciplines.
Bring us the failure mode, load profile, or scaling constraint.
We will help separate symptoms from structural problems and define an architecture path that can be tested before it becomes a production dependency.