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Java 21 & virtual threads (Project Loom)
High-throughput concurrent request handling without reactive complexity.
Technologies — Backend & systems
Java Spring Boot modernization & cloud-native engineering
We modernize enterprise Java applications, upgrading monoliths to Spring Boot 3 and adopting Java 21 virtual threads for cloud scale.
Core capabilities
Why we build with Java & Spring Boot
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GraalVM native images
Much faster startup and a smaller memory footprint for serverless and Kubernetes workloads, where the trade-offs suit the service.
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Monolith decomposition
Extracting bounded contexts from legacy WAR deployments into containerized Spring Boot microservices.
Use cases
Where Java & Spring Boot fits
Banking & insurtech backends
Modernizing core processing systems to meet open banking and cloud standards.
High-volume transaction processing
Daily batch and streaming transaction processing with Spring Batch and Kafka.
How we staff it
Java & Spring Boot engineers you interview first
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
Frequently asked engineering questions
Virtual threads allow Spring Boot to handle tens of thousands of concurrent I/O-bound requests using simple synchronous code without thread starvation.
Often. Native binaries start in milliseconds and use less memory than a warmed-up JVM, which can reduce node counts, though peak throughput and build times need checking for each service.
Ecosystem
Related technologies
Planning a Java & Spring Boot project?
Tell us about your architecture, backlog and team. We'll reply within one business day with an honest read on whether we can help.