</> build passing
✓ On-time delivery
+ Agile delivery
2-wk sprints
Java Development Services

Java Backends Built for Enterprise Scale & Long-Term Reliability

We build Spring Boot microservices, enterprise applications, and event-driven Java platforms. Java 21, Spring Boot 3, Kafka — production-ready from day one.

Java 21 LTS
Spring Boot 3
Microservices
100% IP Yours
Free first consultationNo commitment needed

Java development

Spring Boot 3, Java 21, Kafka

100%

code & IP yours from day one

typical MVP timeline
est.

6–12 wks

48h

Avg. Response Time

no surprises, ever

What are Java development services?

Java development services cover the architecture, build, and production deployment of enterprise-grade applications on the JVM. This includes Spring Boot REST APIs, event-driven microservices with Apache Kafka, complex enterprise applications with multi-module Maven structures, batch processing pipelines with Spring Batch, and legacy Java EE modernisation to Spring Boot 3 and Java 21. A dedicated Java team handles domain modelling, database design, security hardening, performance tuning, containerisation, and Kubernetes deployment.

Our Services

Java Development Services We Deliver

From Spring Boot APIs to enterprise microservices platforms and cloud-native Java.

01

Spring Boot API Development

Production-grade REST and GraphQL APIs with Spring Boot 3, Spring Security, and OpenAPI documentation.

02

Java Microservices Architecture

Event-driven microservices with Spring Cloud, Apache Kafka, service discovery, and Kubernetes-ready containers.

03

Java Enterprise Application Development

Complex business applications with Spring, Hibernate, multi-module Maven builds, and enterprise integration patterns.

04

Java Batch Processing and ETL

Spring Batch jobs for data processing pipelines, ETL workflows, and scheduled background tasks at scale.

05

Java Cloud-Native Development

Cloud-native Java with Spring Cloud, containerised deployments, horizontal autoscaling, and cloud provider integrations.

06

Java Modernisation and Migration

Migrate legacy Java EE / J2EE applications to Spring Boot 3, Java 21, and containerised cloud deployments.

Tech Stack

Java Stack From API to Production

Runtime & Language
Java 21 LTS
Virtual Threads (Loom)
Kotlin
GraalVM Native
Framework
Spring Boot 3
Spring Security
Spring WebFlux
Spring Batch
Data Access
Spring Data JPA
Hibernate 6
JOOQ
Flyway / Liquibase
Messaging
Apache Kafka
RabbitMQ
Spring Kafka
AWS SQS / SNS
Testing
JUnit 5
Mockito
Testcontainers
REST Assured
Build & Deploy
Maven / Gradle
Docker
Kubernetes
AWS EKS / GKE
Why Java

The Platform That Enterprise Applications Are Built On

JVM JIT optimisation delivers C++-class performance for compute-heavy workloads
Java 21 virtual threads handle Node.js-level concurrency with blocking I/O simplicity
Spring Boot reduces enterprise configuration overhead to near-zero for new services
Hibernate and Spring Data JPA provide type-safe database access with audit trails
Apache Kafka integration is first-class via Spring Kafka for event-driven architectures
Strong static typing catches entire categories of runtime bugs at compile time
Mature tooling — Maven, Gradle, JUnit, Testcontainers — is battle-tested at scale
Long-term Java LTS releases (Java 21, Java 25) give multi-year stability guarantees
Our Process

How We Build Java Applications

A structured delivery process from domain modelling to containerised production deployment.

01

Architecture and Domain Modelling

We model your domain, define service boundaries, and choose between monolith, modular monolith, or microservices based on team size and scale.

02

Spring Boot Project Structure

Multi-module Maven or Gradle setup, Spring profiles for environments, Flyway migration baseline, and CI pipeline before feature work begins.

03

Core API and Business Logic Build

Services and repositories are built with Spring Data JPA, integration-tested with Testcontainers against real databases at every milestone.

04

Security and Access Control

Spring Security with JWT or OAuth2, role-based access control, CSRF protection, and OWASP top-10 review before any staging deployment.

05

Performance Testing and Optimisation

Load testing with Gatling or k6, JVM heap analysis, database query profiling, and connection pool tuning before production.

06

Containerisation, Deployment, and Handover

Multi-stage Docker builds, Kubernetes manifests, Helm charts, monitoring dashboards, and full architecture documentation handover.

Indicative Pricing

Java Project Investment Ranges

Fixed-price scopes for common Java engagement types.

EngagementScopeInvestment (USD)
Spring Boot REST APIAuth, CRUD, OpenAPI docs, tests$15,000 – $40,000
Java Enterprise ApplicationComplex business logic, multi-module, integrations$40,000 – $120,000
Java Microservices PlatformMultiple services, Kafka, Kubernetes IaC$60,000 – $160,000+

Ranges are indicative. Final pricing depends on business complexity, service count, and integration requirements. Get a fixed-price quote after a scoping call.

Why CodeShiper

Why Teams Choose Us for Java Development

Six reasons Java projects succeed with our team.

01

Senior Java Engineers

Every engineer has deep JVM and Spring expertise — not generalists who learned Spring last quarter for this project.

02

Testcontainers by Default

Integration tests run against real databases and message brokers in Docker. Mocks hide migration bugs; Testcontainers does not.

03

Security Baked In

Spring Security, OAuth2/JWT, OWASP review, least-privilege DB roles, and secrets management configured from day one.

04

Java 21 Virtual Threads

We adopt Project Loom virtual threads for high-concurrency services, giving you Node.js-level throughput with Java's simplicity.

05

Domain-Driven Design

We model your business domain correctly before writing infrastructure code — service boundaries that make sense survive longer than ones that do not.

06

Production-Ready on Day One

Health endpoints, structured logging, distributed tracing, and alerting are configured before the first deployment — not retrofitted.

100%
IP ownership from day one
2 wks
First working build
48 h
Average response time
98%
Client satisfaction rate
FAQ

Common Questions About Java Development

Why do enterprises still choose Java for backend development in 2026?
Java remains the dominant language for enterprise backend development because of its strong typing, mature ecosystem, and decades of production hardening. The JVM gives Java excellent performance characteristics for CPU-bound and I/O-bound workloads, and the garbage collectors in modern JVMs (G1GC, ZGC) are highly tuned for low-latency applications. Java 21 with virtual threads (Project Loom) delivers Node.js-level concurrency without the callback complexity. The Spring ecosystem covers every enterprise pattern from microservices to batch processing.
What is Spring Boot and why is it the standard for Java backends?
Spring Boot is an opinionated framework built on the Spring ecosystem that removes the configuration overhead of traditional Spring applications. It includes auto-configuration, an embedded servlet container (Tomcat or Jetty), production-ready health and metrics endpoints, and a large ecosystem of starters for databases, security, messaging, and cloud integrations. Spring Boot is the default choice for Java APIs because it gets a production-ready service running in minutes while remaining deeply configurable for enterprise requirements.
Java vs Kotlin for a new Spring Boot project?
Kotlin is the modern alternative to Java on the JVM and has excellent Spring Boot support. It offers null safety, data classes, coroutines for async code, and a more concise syntax than Java. For new greenfield Spring Boot projects, Kotlin is the better choice if your team is open to it — the language has fewer footguns than Java and Spring Boot 3 has first-class Kotlin support. If your team is deeply experienced in Java and has an existing Java codebase, stick with Java — the language improvements in Java 17-21 (records, sealed classes, pattern matching, virtual threads) have significantly closed the gap.
How do you approach microservices with Java and Spring?
We use Spring Boot as the foundation for each microservice, Spring Cloud for service discovery (Consul or Eureka), distributed configuration (Spring Cloud Config), and circuit breaking (Resilience4j). For inter-service communication, we use REST for synchronous calls and Apache Kafka or RabbitMQ for async event-driven communication. Each service runs in its own Docker container with a Kubernetes deployment, health checks, resource limits, and structured logging. We size service boundaries by business capability, not by technical layer.
How do you handle database access in Java Spring Boot applications?
For most projects, Spring Data JPA with Hibernate is the standard — it provides a clean repository abstraction and reduces boilerplate for common queries. For complex reporting queries or performance-critical read paths, we drop down to JOOQ or native SQL via JdbcTemplate, which gives more control over the query plan. Database migrations use Flyway or Liquibase so schema changes are version-controlled and repeatable. Connection pooling uses HikariCP, Spring Boot's default, which is highly optimised.
What is the performance difference between Java and Node.js or Python?
For CPU-bound computation, Java significantly outperforms both Node.js and Python. For I/O-bound workloads, Java with virtual threads (Java 21) now matches Node.js in concurrency while maintaining Java's threading model. Python is 5-20x slower than Java for compute-heavy tasks and is rarely used for high-throughput production backends. Java's predictable performance characteristics and JVM JIT optimisation make it the preferred choice for applications where latency consistency matters under load.
How do you test Java Spring Boot applications?
We use JUnit 5 and Mockito for unit tests, Spring Boot Test with Testcontainers for integration tests that spin up real databases and message brokers in Docker, and REST Assured or MockMvc for HTTP layer tests. Testcontainers is critical — it eliminates the class of bugs where mocked database behavior diverges from real database behavior. We target high integration test coverage for service and repository layers, and unit test coverage for business logic.
How do you deploy Java applications to the cloud?
We containerise Spring Boot applications with multi-stage Docker builds to minimise image size, then deploy to Kubernetes on AWS EKS, Google GKE, or Azure AKS depending on your cloud provider. For simpler deployments, Railway or Render handle the container orchestration. We configure Kubernetes horizontal pod autoscaling based on CPU and custom metrics, and set up readiness and liveness probes so Kubernetes routes traffic correctly during rolling deployments.
Can Java handle real-time and event-driven requirements?
Yes. Spring WebFlux provides a reactive, non-blocking web framework for Java that handles real-time workloads with WebSockets and Server-Sent Events. For event-driven architectures, Spring Kafka and Spring AMQP integrate Java with Apache Kafka and RabbitMQ respectively, giving you durable, ordered, high-throughput event streams between services. Java 21 virtual threads also enable high-concurrency blocking I/O patterns without the reactive programming model.
What does a Java development project typically cost?
A Spring Boot REST API with authentication and a database layer typically costs $15,000 to $40,000. A full Java enterprise application with complex business logic, multiple modules, and third-party integrations runs $40,000 to $120,000. A Java microservices platform with multiple services, Kafka event streaming, and Kubernetes infrastructure costs $60,000 to $160,000 or more depending on the number of services and integration complexity.

Let's Talk

Ready to Build With Java?

Tell us what you are building and we will scope the engagement and send a fixed-price estimate within 48 hours.

Get a Free Java Project EstimateSchedule a Call
NDA available before any technical discussionResponse within 48 hoursNo pressure. No hard sell.