Languages

Java

The default language for enterprise systems that cannot afford downtime. Used across banking, insurance, and government in Australia.

Trusted by leading organisations

United NationsSwiss GovernmentProspaIAGQantasEYANZ
The landscape

Still the backbone of enterprise

Java has been the dominant enterprise language for over two decades. Most core banking and insurance platforms in Australia run on it.

Modern Java looks different from the J2EE era. Six-month release cadences bring features like virtual threads, records, and pattern matching. The challenge is not whether to use Java, but how to modernise the Java you already have.

Spring Boot is the most common framework for new Java services. Quarkus and Micronaut offer lighter alternatives for containerised workloads.

Technology snapshot

Market demand 5/5

Current industry demand for this technology

Adoption 5/5

How widely used by development teams worldwide

Scalability 5/5

How well it handles growth in load and complexity

At a glance

Common in Banking, insurance, government, payments
Key frameworks Spring Boot, Quarkus, Jakarta EE
Runtime JVM with Java 17 or 21 LTS
Typical pattern Microservices, legacy modernisation
Common use cases
Enterprise APIsCore BankingPayment SystemsLegacy Modernisation
What we deliver

Our Java capabilities

01

Microservices architecture

Decompose monoliths into independently deployable services using Spring Boot and Kubernetes.

Spring Boot 3KubernetesService mesh
02

Legacy modernisation

Migrate from WebSphere or JBoss to containerised services using the strangler fig pattern.

Strangler figAPI gatewayZero-downtime migration
03

Performance engineering

Profile and tune JVM applications for latency-sensitive workloads in trading and payments.

ZGCJFRasync-profiler
Why Adaca

Why Adaca for Java?

Regulated industry depth

Core banking integrations, payment systems, and risk platforms under APRA CPS 234 governance.

Modern Java standards

Java 17 and 21 LTS, virtual threads, GraalVM native image. Not J2EE patterns from a decade ago.

Multi-year migration programmes

Monolith decomposition behind API gateways without disrupting production traffic.

Observability from day one

Structured logging, OpenTelemetry tracing, and SLA dashboards as part of every service.

Stable, embedded teams

Average engineer tenure of 4.5 years. Deep domain knowledge over raw headcount.

JVM tuning for your workload

Profiling for low-latency trading, high-throughput batch, or sustained API serving.

Modernising a Java estate?

Talk to us about Spring Boot migration, JVM performance, or building new cloud-native services on your existing Java platform.

Talk to Our Experts