Backend
Backend Development for Scalable, Reliable Systems
Backend systems designed for correctness, scale and the day-to-day reality of operating them in production.
The backend is where your business logic, data integrity and performance either hold up or fall over under load. We design and build services and data layers that stay correct as traffic grows and requirements change, favouring clear boundaries and proven patterns over novelty. Our engineers care as much about how a system behaves at 3am as how it demos on day one.
Fewer incidents
reliability patterns that hold up when dependencies fail
Easier to change
clear boundaries and tests that make new features cheaper
Faster to debug
observability that shortens time to diagnose in production
Service and system design
We start with the domain and the data, not the framework. That means clear service boundaries, well-modelled data, and explicit contracts between components so teams can work independently without stepping on each other. We are pragmatic about monoliths versus microservices, and will steer you away from premature distribution that adds operational cost without real benefit.
- Domain-driven service boundaries
- Relational and non-relational data modelling
- Event-driven and messaging architectures
- Migration from monolith to services where it pays off
Reliability and performance under load
Systems fail at the seams, timeouts, retries, back-pressure and partial failures. We build with those realities in mind, using idempotency, graceful degradation and sensible concurrency so the system stays predictable when a dependency is slow or down. Performance work is driven by profiling and load testing, not guesswork.
- Idempotency and safe retry semantics
- Caching and read/write path optimisation
- Load and soak testing before go-live
- Graceful degradation and circuit breaking
Observability and operability
A backend you cannot see into is a backend you cannot run. We instrument services with structured logging, metrics and distributed tracing so on-call engineers can answer what is happening and why, quickly. Good operability also means clear runbooks and alerting that signals real problems rather than noise.
- Structured logging and correlation IDs
- Metrics, dashboards and meaningful SLOs
- Distributed tracing across services
- Alerting tuned to reduce noise
Security and data protection
Backends hold the data that matters, so security is built in rather than bolted on. We apply least-privilege access, encrypt data in transit and at rest, and keep personal and regulated data in Australian regions where residency applies. Sensible defaults here save painful remediation later.
Frequently asked questions
- Microservices or a monolith for our new system?
- For most teams a well-structured monolith is the right starting point. It is simpler to build, deploy and reason about, and you can extract services later once the boundaries are proven. We recommend microservices when you have clear domain seams, independent scaling needs, and the platform maturity to operate many services, not because it is fashionable.
- Can you work with our existing backend and tech stack?
- Yes. Most of our work involves extending or improving systems already in production rather than greenfield builds. We work across common ecosystems including .NET, Node.js, Python, Java and Go, and start by understanding your codebase, constraints and team conventions so our contributions fit rather than fight the existing design.
- How do you make sure the system will scale?
- We design for the load you can reasonably expect, not an imaginary one, and validate it with load and soak testing before go-live. Key techniques include stateless services that scale horizontally, appropriate caching, asynchronous processing for heavy work, and database design that avoids hot spots. We also instrument the system so you can see where the next bottleneck will appear.
Related services
- API DevelopmentAPIs designed as durable contracts, well-documented, versioned and secure, so consumers can build on them with confidence.
- Cloud ConsultingIndependent cloud strategy, architecture and migration guidance grounded in what actually runs well in production.
- DevOpsCI/CD, infrastructure as code and observability that let your teams ship faster without trading away safety.
Industries we serve
- LogisticsSoftware built for the depot, the cab and the loading dock, not just the office. We build tracking, dispatch and field apps that keep working across Australia's patchy regional connectivity.
- RetailUnified commerce that keeps stock, price and customer data consistent across web, app and store. We build the platforms that let Australian retailers sell everywhere without the operational chaos.
- HealthcareHealthcare software where privacy, clinical safety and interoperability are designed in from the first sprint. We build patient-facing and clinical systems for Australian providers who cannot afford to get compliance wrong.
From the blog
- Event-Driven Backend Patterns for Retail InventoryReal-time inventory is the hardest consistency problem in retail. Here is how to build an event-driven backend that survives duplicate deliveries, schema drift and channel drift.
- Offline-first Flutter for Enterprise Field AppsField apps live where the network doesn't. Here is how we architect Flutter apps that treat the local database as the source of truth and sync as an eventually-consistent background concern.
Ready to talk about backend development?
Tell us what you're building. We'll bring senior engineers and a candid view of what it takes.