Java · Spring Boot

High-performance Spring development

We design and build backends on Java 21 LTS and Spring Boot 3 that sustain transactional operations in production.

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Core stack
Java 21 LTSSpring Boot 3Spring Data JPAKafkaKubernetes
Spring Boot logo
Spring Boot 3.3
core-banking · prod
UP
  • GET/api/accounts/:id
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  • POST/api/transfers
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  • GET/actuator/health
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Why Java and Spring

Production-grade Java engineering

The Java and Spring stack powers the most demanding systems in banking, insurance and telco. We leverage Java 21 LTS, virtual threads and the Spring ecosystem to deliver stable, observable and maintainable services with a long-term horizon.

01

Java 21 LTS with virtual threads

Massive concurrency through Project Loom and a low memory footprint. Endpoints that sustain thousands of requests per second with predictable latencies.

02

Spring Boot 3 on Jakarta EE 10

Your team reads the code and understands the architecture in minutes, with explicit conventions and declarative configuration.

03

Spring Data JPA and Hibernate

Typed repositories, dynamic Criteria API queries and declarative DDD aggregate mapping. Persistence that honors the domain model.

04

Messaging with Kafka and Spring Cloud Stream

Event-driven architecture with the outbox pattern, idempotency and scalable consumption. Async integrations that survive traffic spikes and retries.

05

Observability with Micrometer and OpenTelemetry

Correlated metrics, traces and logs from the first endpoint. Grafana dashboards and actionable alerts on p95, error rate and saturation.

06

Security with Spring Security and OAuth2

Federated authentication, OIDC, mTLS and resource-level authorization. PCI DSS, PSD2 and GDPR compliance verifiable in audits.

Architecture patterns

Spring architectures that scale with the business

We apply patterns proven in banking, insurance and retail systems. Every decision is documented with ADRs and measured with concrete metrics in production.

Hexagonal and DDD

Domain model

Ports and adapters on Spring Boot. The domain stays isolated from infrastructure and use cases run on fast, deterministic tests.

Coverage > 85% in the domain

Microservices with Spring Cloud

Distribution

Service discovery, config server and circuit breakers with Resilience4j. Each service ships independently with its own database and contract.

Autonomous deploys per service

Event-driven with Kafka

Messaging

Domain events, transactional outbox and idempotent consumers. Async integrations that hold eventual consistency with zero data loss.

Guaranteed at-least-once delivery

Spring Native with GraalVM

Startup and memory

AOT compilation for services sensitive to cold start and memory usage. Native images that boot in milliseconds on serverless platforms.

Startup < 100ms in production
TECHNOLOGIES

Java and Spring stack in production

We work with Java LTS releases and the latest generation of Spring Boot. The stack is chosen for durability, vendor support and ecosystem maturity, with a focus on 5 and 10-year maintenance horizons.

Core Java
Java 21 LTSSpring Boot 3Spring Framework 6
Persistence
Spring Data JPAHibernate ORMFlyway
Messaging
KafkaRabbitMQSpring Cloud Stream
Operation
MicrometerActuatorOpenTelemetry
Frequently asked questions

Technical decisions on Java and Spring

Common questions from CTOs and architects evaluating a Java project or a Spring stack modernization.

  • Why Java 21 LTS and not an earlier version?
    Java 21 LTS ships virtual threads, pattern matching, records and sealed classes in stable form, with vendor support from Oracle, Eclipse Adoptium and Red Hat through 2031. It is the most cost-effective choice for projects with a long horizon.
  • How do you migrate Spring Boot 2 applications to Spring Boot 3?
    We audit dependencies, deprecated libraries and friction points with Jakarta EE 10. The migration is planned in sprints with regression tests, progressive deployment and documented rollback.
  • Which patterns do you use for Spring microservices?
    Spring Cloud for discovery and config, Resilience4j for fault tolerance, Kafka for domain events and OpenTelemetry for observability. Each service follows hexagonal architecture with its own model and database.
  • How do you handle observability in production?
    Micrometer publishes metrics to Prometheus, Spring Boot Actuator exposes health and readiness, and OpenTelemetry propagates distributed traces. Grafana dashboards surface p95, error rate and saturation per service.
  • Do you work with Spring Native and GraalVM?
    Yes. We apply Spring Native when cold start or memory footprint are critical: serverless, edge and aggressive autoscaling environments. AOT compilation integrates into the CI/CD pipeline.
  • How do you secure Spring systems in regulated industries?
    Spring Security with OAuth2 and OIDC, mTLS between services, encryption at rest and in transit, and auditable event traceability. We meet PCI DSS, PSD2 and GDPR with verifiable evidence.

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