Do you use Spring Boot with Kotlin or Java?

We support both. Java is our default for teams that need maximum hiring pool and library compatibility. Kotlin is recommended for new projects where conciseness and null safety provide significant productivity gains.

Can you modernize our legacy Spring application?

Yes. We migrate legacy Spring MVC and EJB applications to Spring Boot with containerization, health checks, and modern deployment patterns. We can also decompose monoliths into microservices incrementally.

Do you implement microservice patterns with Spring Cloud?

Absolutely. We implement service discovery (Eureka), circuit breakers (Resilience4j), API gateways (Spring Cloud Gateway), distributed tracing (Micrometer + Zipkin), and centralized config (Spring Cloud Config).

Spring Boot Development for Enterprise Applications

Our AI-managed teams build mission-critical backend systems with Spring Boot, delivering enterprise-grade reliability, security, and scalability.

Technology: Spring Boot (Backend Framework)

Spring Boot is the industry-standard Java framework for building enterprise-grade applications with convention-over-configuration, powerful dependency injection, and a vast ecosystem of integrations. Our teams use Spring Boot for mission-critical backend systems, microservice architectures, and enterprise applications that demand reliability at scale.

What We Build

Enterprise Microservices: Production-grade microservice architectures with service discovery, circuit breakers, distributed tracing, and centralized configuration.
REST and gRPC APIs: High-throughput backend APIs with Spring MVC or WebFlux, comprehensive security, and enterprise integration patterns.
Event-Driven Systems: Asynchronous systems using Spring Cloud Stream with Kafka or RabbitMQ for event-driven architecture and CQRS patterns.
Batch Processing Platforms: Large-scale data processing with Spring Batch for ETL jobs, report generation, and scheduled data migrations.

Expertise

Spring Boot Projects Delivered: 80+
Microservices Managed: 300+ across clients
Uptime SLA Achieved: 99.99%
Average Throughput: 10K+ requests/sec per service

Sample Projects

Banking Transaction Engine: A high-throughput transaction processing engine for a digital bank handling 5M+ daily transactions with ACID compliance. (400 hours)
- Distributed transaction management
- Event sourcing with Kafka
- Idempotent payment processing
- Real-time fraud detection integration
Insurance Claims Platform: A microservice-based claims processing system with document management, workflow automation, and adjuster assignment. (350 hours)
- Claims intake and validation
- Document upload and OCR processing
- Automated adjuster routing
- Payment disbursement integration
Supply Chain Management API: A supply chain backend with inventory tracking, order management, and supplier integration across multiple warehouses. (300 hours)
- Multi-warehouse inventory tracking
- Purchase order automation
- Supplier API integrations
- Real-time stock level events

Frequently Asked Questions

Do you use Spring Boot with Kotlin or Java?: We support both. Java is our default for teams that need maximum hiring pool and library compatibility. Kotlin is recommended for new projects where conciseness and null safety provide significant productivity gains.
Can you modernize our legacy Spring application?: Yes. We migrate legacy Spring MVC and EJB applications to Spring Boot with containerization, health checks, and modern deployment patterns. We can also decompose monoliths into microservices incrementally.
Do you implement microservice patterns with Spring Cloud?: Absolutely. We implement service discovery (Eureka), circuit breakers (Resilience4j), API gateways (Spring Cloud Gateway), distributed tracing (Micrometer + Zipkin), and centralized config (Spring Cloud Config).