Java development
The default choice where a system has to run reliably for a decade and be maintained by whoever inherits it.
Enterprise backend
Chosen per project
Maintainable handover
Java is chosen for longevity. Strong typing catches errors at compile time, the tooling for large codebases is mature, and long-term support releases mean a system can stay on a supported runtime for years without disruptive migration.
Spring Boot has removed most of the configuration burden that gave enterprise Java its reputation, leaving the qualities that made it a sensible choice in the first place.
What we build with Java
Core business systems expected to run for many years
Financial and transactional systems where correctness dominates
Integration layers between several enterprise systems
Organisations with an existing Java estate and skills
Where it fits — and where it does not
Good fit when
Long service life and predictable support requirements
Strong typing and compile-time safety are valued
Heavy concurrent processing and transactional workloads
A team already fluent in the JVM ecosystem
Consider something else when
Small projects, where the ceremony outweighs the benefit
Rapid prototyping where iteration speed matters most
Very constrained hosting budgets — the JVM wants memory
A layered Java backend
The conventional layering, and the reason it survives: each layer can be tested and replaced without disturbing the ones around it.
REST controllers
HTTP concerns and request mapping only.
Service layer
Business logic and transaction boundaries.
Domain model
Entities and rules that outlive the framework.
Repositories
Data access, isolated behind interfaces.
Datasource
Connection pooling and migration management.
Observability
Metrics, health checks and structured logs.
How we work with Java
Spring Boot
Convention-driven configuration, so the codebase is about the domain rather than the framework.
Layered design
Controllers, services and repositories kept distinct, with the domain model at the centre.
Transactions
Boundaries defined explicitly, which is what keeps financial data consistent under concurrency.
Build and release
Maven or Gradle with reproducible builds and containerised deployment.
Our typical Java setup
| Concern | What we use |
|---|---|
| Runtime | A current long-term support JDK release |
| Framework | Spring Boot with Spring Data and Spring Security |
| Database | PostgreSQL or an existing enterprise database |
| Migrations | Flyway or Liquibase, versioned alongside the code |
| Testing | JUnit with Testcontainers for realistic integration tests |
| Build | Maven or Gradle, producing container images |
Frequently asked questions
For long-lived business and financial systems, yes. Modern Java with Spring Boot is concise, and the long-term support model is a genuine advantage when a system has to stay in service for many years.
They are closely matched. The decision usually comes down to your existing infrastructure and skills — .NET if the organisation is Microsoft-centred, Java if it is not, or if the deployment target is Linux-first.
Yes, including older applications on legacy frameworks. We audit first and propose a route to a supported runtime rather than assuming a rewrite.
Services built with Java
Enterprise Software Development
Systems for organisations where several departments, sites and approval chains all have to work from the same data.
API Development
The interfaces that let your systems talk to each other, and let partners build on top of what you have.
Custom Software Development
Software shaped around the way your business already works, instead of a packaged product you have to reorganise around.
Cloud Solutions
Hosting designed around what your application actually needs, with the monitoring and backups that make it safe to rely on.
Tell us what you are trying to build
Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.