Reliable Systems
Behind Great Products
Engineer the APIs, services, data flows, and integrations that connect your product to the systems it depends on. Clear contracts, maintainable architecture, and quality validation guide the work.
Strong foundations.
Connected responsibilities.
Architecture should make the system easier to build, validate, and maintain. We tailor the approach to your product and existing environment.
API Architecture
Design clear interfaces.
Define dependable behaviour.
Shape API contracts around product needs, consumers, and system boundaries. We consider request and response structures, authentication, access rules, versioning, and failure behaviour before implementation.
- ✓API development & REST integration
- ✓Authentication & authorisation boundaries
- ✓Request, response & error contracts
- ✓Versioning & documentation
API contracts, implementation scope, and validation criteria agreed with the consuming teams.
Integration Engineering
Connect business systems.
Keep the boundaries clear.
Integrate third-party APIs, internal services, and existing business systems through documented data flows. Handle unexpected responses, dependency limits, and partial failures explicitly.
- ✓Third-party API integrations
- ✓System-to-system workflows
- ✓Data mapping & validation
- ✓Dependency errors & recovery paths
Connected workflows with documented responsibilities, failure handling, and integration checks.
Microservices
Choose boundaries
that serve the product.
Design or implement services with clear responsibilities and interfaces where a distributed architecture fits the requirements. Assess deployment, testing, data ownership, and operational complexity alongside modularity.
- ✓Service responsibilities & contracts
- ✓Backend business logic
- ✓Service-to-service integration
- ✓Deployment & operational considerations
A considered service structure, documented tradeoffs, and maintainable implementation boundaries.
Event-Driven Systems
Connect actions
without hiding the behaviour.
Support asynchronous workflows where events provide a useful coordination model. Define event contracts and consider delivery behaviour, ordering needs, duplicate processing, retries, and failure recovery.
- ✓Event contracts & workflow design
- ✓Asynchronous system interactions
- ✓Idempotency & retry considerations
- ✓Failure paths & recovery handling
Explicit event flows and tested handling of relevant delivery and processing conditions.
Data
Make information flow.
Protect its meaning.
Connect databases and services with defined data responsibilities. Consider persistence, consistency, validation, schema changes, and the behaviour of incomplete or conflicting information.
- ✓Database integrations
- ✓Data validation & integrity
- ✓Persistence & schema considerations
- ✓Data access boundaries
Documented data flows and integration behaviour appropriate to the application’s requirements.
Reliability
Plan for the conditions
outside the happy path.
Build clear error handling and consider dependency failures, timeouts, recovery, and expected workloads. Reliability decisions should reflect business impact and be validated against agreed criteria.
- ✓Timeouts & failure handling
- ✓Recovery & fallback behaviour
- ✓Workload & scalability considerations
- ✓Maintainable operational guidance
A clearer view of failure behaviour, known constraints, and practical recovery expectations.
Testing
Validate the contracts.
Exercise the system.
Combine backend, API, and integration checks with meaningful scenarios and controlled test data. Test critical rules and failure paths, and add automation where repeatable validation supports delivery.
- ✓API & backend testing
- ✓Integration & contract validation
- ✓Negative scenarios & test data
- ✓Repeatable checks & release evidence
Traceable validation findings that support decisions about behaviour, integration risk, and release readiness.
Observability
See what happened.
Understand what to do next.
Connect logging, monitoring, and available operational signals to the needs of the system and the people supporting it. Use context to investigate failures and validate behaviour without collecting unnecessary sensitive data.
- ✓Logging & monitoring integration
- ✓Relevant metrics & trace context
- ✓Alerting & investigation needs
- ✓Sensitive-data & retention considerations
Useful signals, investigation guidance, and documented operational assumptions within the agreed scope.
Every integration
has two sides.
Backend decisions affect the interfaces, workflows, and teams around them. Connect implementation with relevant product and quality capabilities.
Discuss Your
Backend Architecture
Bring your product, integration challenge, or existing system.
We’ll help define a practical architecture and delivery approach.