Java Development
Java Development For Systems That Can't Afford To Fail
Banks, retailers and logistics companies rely on Java for a reason. It's stable, scales well and has decades of proven tooling behind it.
Proven At Enterprise Scale
- Spring Boot services
- Microservices and messaging
- Performance tuning
- Modernising existing systems
Java has run large-scale business systems for decades, and its ecosystem reflects that: mature tools for monitoring, security, messaging and data access, and a very large pool of experienced engineers. With Spring Boot, building modern services on it is quick and well understood.
We build new services and microservices in Java, and we take on existing systems that need new features, better performance or a move to the cloud. The aim is always steady, measurable improvement, without putting the system you rely on at risk.
What We Build With Java
The kinds of project this technology suits best.
- 01
Enterprise Back Ends
Core services handling large volumes of transactions.
- 02
Microservices
Independently deployed services with Kafka or other messaging.
- 03
Integration Layers
Connecting ERPs, banks, carriers and other large systems.
- 04
Android Back Ends
Reliable services behind mobile apps, sharing skills with Kotlin.
Why Choose Java
Where it earns its place, and what we do to get the most from it.
Long Track Record
A stable platform with strong backward compatibility across versions.
Serious Tooling
Excellent profiling, monitoring and testing tools.
Performance Under Load
The JVM is built for long-running, high-volume services.
Plenty Of Engineers
A large talent pool protects your investment over time.
Services That Use Java
Our teams use this technology across these services.
Planning a Java project?
Talk To An EngineerJava FAQs
Isn't Java outdated?
No. Java has a regular release schedule and modern language features, and Spring Boot makes new services quick to build. It remains a mainstream choice for large systems.
Can you take over our existing Java system?
Yes. We start by reviewing the code and how it's deployed, then agree a plan for stabilising it and improving it step by step.
Java or Node.js for our back end?
Java suits large, transaction-heavy systems and teams already using it. Node.js suits real-time features and teams working in JavaScript. We'll recommend based on your load and your people.
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