Java development services
Java is what we reach for when a system has to be predictable for a decade — regulated industries, integration-heavy backends, and services where an outage is a business event rather than an inconvenience.
Where we use Java
Java is part of the stack on these 4 services. Each page covers how we work, what you get and what it costs to start.
Java in practice
Java’s case is stability. Long-term support releases, strong backwards compatibility and an operational toolchain — profilers, heap analysis, mature APM — that makes production problems diagnosable rather than mysterious. In regulated industries that predictability is worth more than language elegance.
The other durable advantage is staffing. A Java service can be handed to an internal team, another vendor or a new hire without hunting for rare specialists, and it will still be maintainable in ten years. That matters more than it sounds when you are choosing what to build a system on that has to outlast several teams.
What we build with Java
Spring services that sit between existing systems, with the transactional guarantees and audit trails those environments require.
The middle tier that talks to ERPs, payment providers and partner APIs, and keeps their failures away from the product.
Native Android work in Java where an existing codebase or team standard makes Kotlin the wrong argument to pick.
Is Java right for you?
Ask usA good fit when
- Financial, insurance, healthcare and public-sector systems
- Integration layers between existing enterprise systems
- Applications expected to run for a decade with staff turnover
- Organisations with an existing JVM estate and operations capability
Probably not when
- Small MVPs that need to reach users in weeks
- Serverless workloads where cold start dominates
- Teams with no JVM background
What we run alongside Java
The rest of the setup, and why each piece is there. We keep this list short on purpose — every dependency is something someone has to maintain.
- Spring Boot
- The default application framework for JVM services.
- Maven or Gradle
- Build and dependency management; Gradle when build performance matters.
- JUnit 5 + Testcontainers
- Unit tests plus integration tests against real dependencies in Docker.
- Flyway
- Versioned database migrations applied consistently across environments.
- Micrometer + Prometheus
- Metrics without hand-rolling instrumentation.
Why Java
Let’s talkStability is the point
Long-term support releases and strong backwards compatibility mean an upgrade is a planned task, not a rewrite.
Excellent operational tooling
Profilers, heap analysis and mature APM support make production problems diagnosable rather than mysterious.
Deep hiring pool
A Java service can be handed to an internal team or another partner without a search for rare specialists.
What we get called in to fix
Get a second opinionMemory and GC problems
Heaps sized by guesswork and pauses nobody measured. Heap analysis usually turns this into a specific, fixable cause.
Dependency and version drift
Applications on end-of-life Java or framework versions, where each security patch becomes a project.
Slow builds
Multi-minute builds that discourage frequent commits. Usually fixable with build caching and module structure.
Over-layered architecture
Six layers of abstraction where two would do, so every change touches ten files.
Java or the alternative
The comparisons we are actually asked to make, answered the way we would answer them on a call.
Kotlin for new code — shorter and null-safe on the same runtime. Java where the surrounding estate and team standards make it lower friction.
Go for lightweight services and fast startup. Java for complex transactional domains and mature operational tooling.
Largely an organisational choice. Both are excellent; pick the one your people and infrastructure already support.
Java works well with:
Node.js
Python
React
Vue
Angular
AWS
Azure
Flutter
Go
Google Cloud
JavaScriptGot an idea? Let’s make it real.
Tell us the short version
This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.
Keep looking
Frequently asked questions
Kotlin for greenfield work where the team is comfortable with it; Java where the surrounding estate, tooling and staffing all point that way.
Yes — Spring and Spring Boot are our default for Java service work.
Yes. Takeovers usually start with a dependency and version audit, since that is where the risk concentrates.
A current long-term support release. Running an unsupported version is a security decision that should be made explicitly, not by default.
Yes — usually version by version, with integration tests added first so each step can be verified rather than hoped for.