Java Development & JVM Engineering
Building robust, scalable, and high-performance applications using Java, Spring Boot, Jakarta EE and modern JVM tooling. From microservices to enterprise systems — we bring JVM expertise, CI/CD pipelines, and production-ready observability.
Java & JVM Services
End-to-end Java engineering (Spring Boot, Jakarta EE, Micronaut)
NPS Java Solutions delivers enterprise-grade Java applications and platform engineering. We design, build, and operate services for modern businesses using proven JVM frameworks and cloud-native patterns.
Our expertise includes Spring Boot microservices, Jakarta EE (formerly Java EE) for transactional systems, Micronaut for low-memory microservices, and Kotlin interop when polyglot JVM makes sense.
We cover the full lifecycle: architecture & design, CI/CD (Maven/Gradle pipelines), containerization (Docker), orchestration (Kubernetes), monitoring (Prometheus, Grafana), and JVM performance tuning.
Core Capabilities
Robust engineering practices for reliable, fast, and maintainable Java systems
Microservices Architecture
Design and implement resilient microservices with Spring Boot, API gateway patterns, and contract-driven development.
JVM Performance & Tuning
Heap analysis, GC tuning, JIT warmup strategies, async/non-blocking I/O to maximize throughput and reduce latency.
Cloud-native Java
Containerize Java apps, optimize images, and deploy with Kubernetes, Helm charts, and GitOps workflows.
Testing & Observability
Comprehensive testing: unit, integration, contract tests, plus observability with distributed tracing and metrics.
Frequently Asked Questions
Common Java and JVM questions we hear from engineering teams
What is the JVM and why does it matter?
The Java Virtual Machine (JVM) is the runtime that executes Java bytecode. JVM internals (GC, JIT compiler, classloading) directly affect performance, memory usage, and startup behavior.
When should we use Spring Boot vs Jakarta EE?
Spring Boot is excellent for rapid microservice development with a vast ecosystem. Jakarta EE suits transactional, standards-driven enterprise systems. Choice depends on team skills and non-functional requirements.
How do we improve JVM startup time?
Use smaller fat-jar images, enable class data sharing (CDS), minimize reflection-heavy frameworks, and consider GraalVM native-image for ultra-fast startup where appropriate.
What is the best approach for testing microservices?
Combine unit tests, contract tests (consumer-driven), and integration tests with testcontainers. Use CI to run fast feedback loops and avoid brittle end-to-end only test suites.
How do we monitor and debug production Java apps?
Collect metrics (Prometheus), traces (OpenTracing/OpenTelemetry), and logs (structured). Use heap dumps and flame graphs for deep performance debugging.