Enterprise Java,
engineered
for scale.
We build robust, maintainable Java systems — from greenfield microservices to the careful, high-stakes work of modernising the legacy estates that keep your business running.
Where Java systems go wrong — and where we come in
Most Java pain isn't about the language. It's about decisions made under pressure that compound quietly for years.
Still running Java 8
Of enterprise Java systems remain on end-of-life versions, exposed to known CVEs and cut off from modern JVM performance gains.
version debtMonolith deployment risk
Legacy monoliths are four times more likely to cause full-service outages during deployments than equivalent microservice architectures.
legacy monolithDev time lost to JVM tuning
Without proper heap sizing, GC strategy and thread pool configuration, teams spend over a third of sprint capacity chasing latency spikes.
JVM performanceDependencies, unaudited
Average Spring Boot project carries over 200 transitive dependencies. Dependency sprawl is the leading source of hidden CVEs and build fragility.
dependency sprawlFour areas where we deliver the most
Deep Java expertise across the full spectrum — from building new systems right to rescuing ones that have grown out of control.
Microservices & Spring Boot APIs
Domain-driven microservices built on Spring Boot 3, designed for independent deployability, contract testing, and observability from day one.
Legacy Java Modernisation
Structured migration from Java 8 through to 17 or 21 — module system adoption, records, sealed classes, and the removal of deprecated APIs — without stopping your releases.
Enterprise Integration
Kafka event streaming, IBM MQ, REST and SOAP bridging — we untangle complex integration topologies and bring them under version control and monitoring.
Cloud-Native Java
Containerised JVM workloads on AWS, GCP, and Azure. GraalVM native image for cold-start reduction, right-sizing heap allocation, and Kubernetes-native scaling policies.
How your Java estate fits together
The tools we use every day
A curated stack, not a kitchen sink. Every tool here has earned its place on production systems.
Four stages, no surprises
A delivery process shaped by what goes wrong on Java projects — not by what looks good in a slide deck.
Discovery & Architecture
We audit your existing codebase, dependency tree, and deployment pipeline. Then we define the target architecture and migration risk register before a line of new code is written.
Sprint Development
Two-week sprints with a working, tested increment at every close. Your team has full visibility into the backlog, velocity, and what's shipping next.
Testing & QA
Unit, integration, and contract tests wired into CI from sprint one. SonarQube quality gates, OWASP dependency checks, and load testing against real traffic profiles before any release.
Deployment & Support
Zero-downtime deploys via blue-green or canary. A documented handover, runbook, and optional ongoing SLA — so your team owns what we build.
Java hasn't stood still. Neither have we.
Java is the most deployed enterprise runtime on the planet — and for good reason. The JVM's stability characteristics, its tooling ecosystem, and the depth of its concurrency model are genuinely hard to match. Java 21's virtual threads alone collapse the performance case for reactive spaghetti code that's made entire codebases unmaintainable.
What's changed is the delivery model around it. The Java teams that struggle today aren't struggling because of the language — they're struggling because the toolchain, the architecture patterns, and the team practices haven't kept pace. That's precisely where we focus.
We've built Java systems at every scale: single-service greenfields, distributed platforms handling hundreds of millions of daily events, and careful modernisations of monoliths where the business can't afford downtime.
What you can expect
This is how we write Java
Clean, idiomatic, and built for the humans who come next.
@Service
@Slf4j
public class OrderService {
private final OrderRepository orders;
private final KafkaTemplate<String, OrderEvent> kafka;
// Java 21 record — concise, immutable, no Lombok needed
public record CreateOrderCommand(
UUID customerId,
List<LineItem> items,
Currency currency
) {}
@Transactional
public OrderResult placeOrder(CreateOrderCommand cmd) {
// Pattern matching switch — Java 21 style
var status = switch (cmd.currency()) {
case GBP -> ValidationStatus.APPROVED;
case USD -> ValidationStatus.APPROVED;
default -> ValidationStatus.REVIEW_REQUIRED;
};
var order = orders.save(Order.from(cmd, status));
// Publish domain event — decoupled, async
kafka.send("orders.placed", order.id().toString(),
OrderEvent.placed(order));
log.info("Order {} placed for customer {}",
order.id(), cmd.customerId());
return new OrderResult(order.id(), status);
}
}
Ready to modernise your Java estate?
Whether you're planning a Java 21 migration, untangling a legacy monolith, or starting something new — we're happy to take a look and tell you exactly what we see.
