Java and Spring Boot development services - enterprise backends, APIs and microservices, engineered to run for years.
Intention InfoService builds custom Java backend systems and Spring Boot APIs and microservices - on the JVM, in modern Java 25 (or Kotlin), with strict static typing, mature multithreading and virtual threads. Enterprise-grade engineering at transparent published fixed prices, and you own 100% of the standard Spring Boot code, with no lock-in. We're a small senior team and honest about it - if you need a certified vendor with a big bench and formal SLAs, we'll tell you that's not us. For startups, scale-ups and enterprise teams worldwide.
Fixed price, code you own, no lock-in.
- You own 100% of the code
- Published fixed pricing
- Java 25 LTS + Spring Boot 4
Java & Spring Boot in 202625 LTS
- Runtime
- Java 25 LTS (or 21), on the JVM
- Framework
- Spring Boot 4, Spring Framework 7
- Concurrency
- Virtual threads (Project Loom)
- Typing
- Static, strict by default
Modern Java - records, sealed types, pattern matching, native images.
The systems that have to be correct
Java and Spring Boot earn their keep on large, transaction-heavy, long-lived systems where strict typing and JVM performance pay off. A typical engagement is one of these:
Transaction-heavy platforms
Order, payment, inventory and ledger systems where correctness under concurrent load is non-negotiable - Java's transactional integrity and strict typing are built for this.
High-throughput REST & gRPC APIs
Versioned REST and gRPC APIs and backend-for-frontend layers, built to hold up under real load with virtual threads and proper connection management.
Microservices & event-driven systems
Spring Cloud microservices and Kafka event-driven pipelines when a system genuinely needs them - and the honest call to start with a modular monolith when it doesn't.
Core enterprise & regulated systems
Long-lived business systems with compliance, reliability and audit needs - the kind that must stay correct and maintainable for a decade, not a quarter.
Legacy Java modernization
Upgrading Java 8 or 11 to Java 21 or 25 LTS, and migrating legacy Java EE or older Spring to modern Spring Boot - incrementally, with the Strangler Fig pattern, not a risky big-bang rewrite.
Integrations & batch
Enterprise integrations, message-driven workflows and large restartable batch jobs with Spring Integration and Spring Batch - the unglamorous plumbing large systems run on.
The front end, and where Kotlin fits
A Spring Boot backend usually exposes a clean REST or GraphQL API and pairs with a separate front end - React, Angular or Next.js - rather than rendering its own UI (it can serve HTML via Thymeleaf, but usually doesn't), and we build both sides. And Kotlin is a first-class JVM language for Spring Boot backends, so we build in it where a team prefers it - that's Kotlin on the server. Native Android with Kotlin is a different job, and it lives on our mobile app development page.
Is Java still worth it in 2026? Yes - and it's not the Java you remember.
The "old, verbose, enterprise-dinosaur" reputation is real, and it comes from real history: pre-modern Java was ceremony-heavy, and the JVM's startup and memory footprint were genuine costs for small services. Pretending otherwise would be dishonest. What changed is a lot. Java 25 LTS (September 2025) is a modern language - records, sealed types and pattern matching cut the boilerplate. Virtual threads, finalized in Java 21, let a Spring Boot service handle enormous concurrent I/O in plain, readable code, so much of the reason teams once reached for complex reactive stacks is simply gone. GraalVM native images compile a Spring Boot app to a fast-starting, low-memory binary, answering the old serverless weak spots. And Spring Boot 4 (November 2025) keeps the dominant enterprise framework firmly current. Java runs a large share of the world's banking, payments and enterprise systems, which is evidence the platform scales, not a claim about who we've worked with. The honest limit: Java isn't the fastest way to ship a small app, and it isn't where the data and ML ecosystem lives - and where the load is heavy and the system lives for a decade, it's one of the safest 2026 picks.
Why teams build enterprise backends on Java
Java and Spring Boot are what we reach for when a system is large, transaction-heavy and has to stay correct under load for years. Here's what it buys you - and, honestly, when it's the wrong tool.
Strict typing catches errors early
Static, strict-by-default typing - now with records, sealed types and exhaustive pattern matching - means the compiler catches a whole class of errors before runtime. On a system that must stay correct for years, that's the point, not ceremony.
Mature multithreading, modernized
Java's multithreading is deep and proven, and virtual threads (Project Loom) now let a Spring Boot service carry enormous concurrent I/O in plain blocking code - the throughput teams once needed reactive stacks for, without the complexity.
The deepest enterprise ecosystem
Spring, Hibernate, Kafka and the whole Maven-hardened middleware stack - decades of battle-tested libraries for exactly the transactional, integration-heavy work large systems need.
Built for load and longevity
The JVM is one of the most optimized runtimes there is, and Java is engineered for systems that run under real load and stay maintainable for a decade, not a quarter.
A huge, long-lived talent pool
Java is one of the largest, most stable talent pools in software, so what we build is a safe, well-supported bet a long-lived team can maintain long after we hand it over.
Modern, not verbose
2026 Java reads far closer to Kotlin than to Java 8 - records, sealed classes, pattern matching, text blocks and var have cut the boilerplate that earned the old reputation.
When Java isn't the right call
Java and Spring Boot earn their keep on large, transaction-heavy, long-lived systems. Plenty of projects aren't that, and forcing them onto Java is cost you don't need. For a small CRUD app, MVP or content-and-admin platform you want live fast, a batteries-included framework ships sooner - that's Django or Laravel. For a data, analytics or ML backend, the gravity is in Python. For a real-time-first product - chat, presence, streaming - Node.js on the event loop fits more naturally (though when the concurrency is heavy and JVM-native, virtual threads make Java a strong answer too). Not sure, or the backend is the product? We'll pick the right stack and scope it properly.
Java the 2026 way, not the Java 8 way
There's no live Java running this static Next.js site to point at, so the proof is the depth. This is current to Java 25 LTS and Spring Boot 4 on Spring Framework 7 - virtual threads, records, GraalVM native images - not the XML-config, J2EE, hand-rolled-thread-pool Java its reputation is stuck on.
Spring Boot core, used properly
Auto-configuration, starters and convention-over-configuration, with Actuator health, metrics and readiness/liveness probes wired from day one. Annotation and Java config only, typed configuration properties, profiles per environment - never the XML Spring of a decade ago.
The data layer
Spring Data JPA and Hibernate for the domain, jOOQ or plain SQL where you need real query control, and Flyway or Liquibase for versioned migrations over PostgreSQL. The senior work is transaction boundaries, fetch strategies, HikariCP pooling and killing N+1 queries.
REST and API design
Spring Web MVC endpoints with Bean Validation at the boundary, OpenAPI contracts generated from the code, consistent ProblemDetail (RFC 9457) errors, pagination and first-class API versioning - native in Spring Boot 4.
Virtual threads & concurrency
Blocking-style Spring MVC on virtual threads (Loom, Java 21) for massive I/O concurrency without the reactive tax, enabled and tuned correctly, with WebFlux and Reactor reserved for genuine streaming and backpressure. We give you the honest call on which model fits.
Microservices, and the modular monolith first
Spring Cloud when a system genuinely needs it - config, discovery, Spring Cloud Gateway, Resilience4j circuit breakers. The judgment we lead with: start with a well-structured modular monolith and split to services only when scale or team boundaries justify the distributed-systems tax.
Security
Spring Security done to its strengths: OAuth2 and OIDC, JWT or opaque-token resource servers, session vs stateless made deliberately, method-level security, CSRF where it applies, and secure password hashing. Defaults on by design, not bolted on late.
Messaging and events
Event-driven and asynchronous work with Apache Kafka or RabbitMQ, Spring Integration for enterprise integration patterns, and Spring Batch for large, restartable, chunked jobs. Idempotency and dead-letter handling thought through, not fire-and-forget.
Testing, a genuine enterprise strength
JUnit 5, Spring Boot Test slices, MockMvc for the web layer, and Testcontainers so integration tests run against a real Postgres, Kafka or Redis in Docker instead of over-mocked fakes. Fast enough to gate every commit - this is where Java's tooling maturity shows.
Observability
Micrometer metrics through Actuator to Prometheus, Micrometer Tracing with OpenTelemetry for distributed traces, and structured logging with correlation IDs. You can see latency, errors and saturation in production, not guess.
Build and deploy
Gradle or Maven, reproducible multi-stage non-root Docker images, Kubernetes with proper probes and resource limits, GraalVM native images where startup and memory matter, and real JVM tuning where sustained throughput does.
Kotlin on Spring Boot, first-class
Spring Boot supports Kotlin as a first-class JVM language - null-safety, data classes, coroutines, concise DSLs - and we build in it when a team prefers it. (Android and Kotlin native mobile is a different service; here Kotlin means the backend.)
Strong typing and correctness as a feature
Static, strict-by-default typing, now with records, sealed types and exhaustive pattern matching, plus JSpecify null-safety in Spring Framework 7. For large, long-lived, transaction-heavy systems, the compiler catching a whole class of errors before runtime is the point.
Our default Spring Boot architecture: Java 21 or 25 LTS on Spring Boot 3.5 or 4, structured as a modular monolith by default - clean module boundaries first, microservices only when scale or team size truly justifies them. Spring MVC on virtual threads for simple, high-concurrency I/O without the reactive tax; Spring Data JPA over PostgreSQL with Flyway migrations and jOOQ or SQL where query control matters; Spring Security with OAuth2 and OIDC; JUnit 5 with Testcontainers from the first commit so tests run against real infrastructure; Actuator, Micrometer and OpenTelemetry for observability; Gradle builds into layered, non-root Docker images on Kubernetes; GraalVM native images where startup and memory dominate. Kotlin when the team prefers it. We reach for WebFlux only when streaming and backpressure are the real requirement, and we'll point you to Django, Python or Node when the JVM isn't the honest fit.
We won't pretend this page is Java.
Our React and Next.js pages can say 'this page is the technology, inspect it.' This one can't, and we won't fake it. Our site is a static Next.js and React build, and even the toolchain that compiles it runs on Node, not the JVM - so Java and Spring Boot power none of what you're reading: not the runtime, not the build, not a single request or query. Java is exactly the stack a serious enterprise backend would run on, which is why bolting a 'Powered by Spring Boot' badge onto a page that isn't one would take five minutes - and cost us the one thing this entire site is built to earn.
Enterprise-grade engineering, honestly sized
"Enterprise-grade" means two different things, and they're worth pulling apart. One is engineering: strict typing, a properly modelled domain, transactions that hold under concurrent load, tests you can trust, security defaults, a codebase a team can safely change in year five. That is what Java and Spring Boot are for, and it's exactly what we build - the same discipline whether you're a two-founder startup, a scale-up, or an engineering team inside a larger enterprise. The other is procurement apparatus: a large bench, SOC 2 and ISO 27001 on the wall, a named account manager, formal penalty-backed SLAs, and a sales floor between you and the people writing the code. That's a real thing some organisations are required to buy - and it is not us, and we won't dress up to look like it.
Here's the part most enterprise Java vendors won't tell you: those two are not the same, and paying for the second doesn't guarantee the first - a large bench often means your code is written by whoever's unbooked that quarter, behind an account manager who translates. We're the opposite trade: small and senior on purpose, so the people who scope your Spring Boot system are the people who build it and hand it over. If a regulated procurement genuinely requires a certified vendor with a large bench and formal SLAs, that isn't us, and we'll tell you on the first call rather than win the work and hope. Knowing which one you actually need is the most enterprise-grade thing on this page.
The depth on this page is the demo
The capability detail above is written by people who actually ship modern Java and Spring Boot - Spring Boot 4 on Spring Framework 7, records and sealed types and pattern matching, virtual threads for high-throughput I/O, Spring Data JPA and Hibernate, Spring Security, JUnit 5 with Testcontainers, Maven or Gradle builds, GraalVM native images where startup and memory matter. It's current to Java 25 LTS. Dated Java vocabulary - J2EE, hand-rolled thread pools where virtual threads now belong, XML where annotations and records now live - is how you spot an amateur on a Java page. Ours is current, and that competence, stated as capability and never as a result we invented, is the proof that actually travels.
You own 100% of the code, IP, schema and data
A standard Spring Boot application in your repository, deployed to your cloud - your AWS, GCP or Azure, your PostgreSQL, your domain. The source, the entities, the Flyway migrations, the JPA schema and the data live in your database and your repo, yours from day one. No runtime licence to us, no proprietary layer, nothing held hostage on our side.
No lock-in, by construction
Standard Java and standard Spring Boot on mainstream open source - Spring Framework, Spring Data JPA and Hibernate, Spring Security, Maven or Gradle - in the conventional layout any competent Java team can read. We never wrap your system in an in-house framework only we understand, so a bigger team or another vendor can pick it up without us in the room.
Senior people, direct
You talk to the engineers who design your domain model, write your Spring Boot services and shape your API - no account-manager layer, no offshore hand-off, no juniors learning JPA on your budget. On a system that has to stay correct under load for years, who actually writes it is the whole game.
Transparent, published fixed pricing
The same published tiers as the rest of the site, no metered surprises and no quote wall. Most serious Java work is a genuinely bespoke system, so it enters through a fixed-price Discovery Sprint that ends in a written architecture, scope and a fixed build quote - never a mystery hourly rate or a day-rate bench you can't see.
Enterprise-ready, honestly
Strict static typing, JUnit 5 with Testcontainers against real Postgres and message brokers, Spring Security defaults, validation and transaction boundaries done properly. What we do not claim: a SOC 2 report or ISO 27001 certification we don't hold, and there is no HIPAA certification for anyone to hold; Oracle Java or Spring Certified Professional credentials we don't hold; and we are not a Broadcom, VMware Tanzu or Spring partner, so we won't imply it. We also don't run a large bench or offer formal penalty-backed SLAs. If your project legally requires a certified vendor, we'll say so plainly.
A registered company since 2016
Intention InfoService is a real, incorporated company, small and senior on purpose - so a Spring Boot codebase stays architecturally consistent from the first entity to production instead of passing between rotating hands. Enterprise Java rewards continuity of the people who understand the domain.
We ship software built from the same parts a Spring Boot system is - honestly labelled
Our production work is real, custom web builds - a professional-training platform rebuild and a financial-services site - built from the same primitives a Spring Boot system is made of: structured, related data models, a searchable and filterable catalog, enquiry and enrolment funnels, a real-time affordability calculator, certificate validation, and an admin a non-technical team runs itself. One of them is a WordPress-to-Next.js rebuild. See both on our work page, described honestly - and never relabelled as Java or Spring Boot projects, because they weren't, and we won't dress a web build up as something it wasn't. What they prove is one true thing: this team ships working software that models real data, runs real enquiry and enrolment funnels, and holds up in production. The Java-specific proof isn't a borrowed case study or a bank's logo - it's the depth on this page and the standard Spring Boot code, schema and data you'll own outright.
From domain model to a running Spring Boot system
We model the domain and the transaction boundaries before we build, because on systems that must stay correct under load, architecture is most of the job - and serious Java work is scoped, not tier-dropped.
Discovery & architecture
2-3 daysWe map the domain, the load and the integrations, and design the architecture and data model - most serious Java work starts with a scoped Discovery Sprint, not a template.
Domain model & API contract
daysWe model the entities and transaction boundaries and define the API contract first, so services and the front end build against a stable, typed agreement.
Build in sprints
weeksSpring Boot services, security and integrations built and demoed on a live URL every week - never a black box, always in your repo and cloud.
Test & harden
ongoingJUnit 5 and Testcontainers against real infrastructure, a security pass on Spring Security, and load and observability checks - so it ships correct and observable.
Deploy & hand over
on deliveryDeployed to your cloud or Kubernetes with CI/CD and migrations in the pipeline, documented and handed over - a standard Spring Boot repo, schema and data you own outright.
The honest 2026 backend comparison
We're stack-agnostic, so this is fair, not a pitch. All three are excellent - the real choice in 2026 is about your workload, your team, and how long the system has to last.
| Java & Spring Boot | Node.js | Python | |
|---|---|---|---|
| What it is | JVM language + framework | JavaScript runtime on V8 | General-purpose language |
| Best for | Large, transaction-heavy enterprise | Real-time, high-concurrency, API-first | ML, data science, automation |
| Concurrency | Mature multithreading | Single-thread event loop, async I/O | Threads or async, CPU-limited |
| Ecosystem | Maven, enterprise-hardened | npm, the largest registry | PyPI, deep AI and data stack |
| Talent pool | Large, enterprise-leaning | Very large, shared with front-end JS | Very large, data and AI heavy |
| Typing | Static, strict by default | TypeScript, opt-in | Type hints, optional |
| Our take | When the load is heavy and JVM-native | Our default for real-time and API-first | Our pick when AI or data is the core |
What about .NET or Go? .NET is the equivalent on the Microsoft stack, and Go wins for ultra-lean, low-latency infrastructure services - we build in Java and Spring Boot on the JVM, and we'll tell you honestly if your team is better served elsewhere. Weighing the other backends we build? See Node.js for real-time and API-first work and Python for data, ML and automation.
Transparent Java and Spring Boot pricing
No quote wall - unlike almost every other page on this search. Most serious Java work is a bespoke system, so it's scoped through a fixed-price Discovery Sprint; smaller, more standard builds map to our published web tiers. Either way, you see the price before you commit.
Starter
1 week
A single-page site or landing page, live fast
- 1 to 5 page site or landing page
- Mobile-responsive, on-brand design
- SEO & schema baseline
Launch Sprint
2-3 weeks
Startups needing a fast, credible site
- Up to 8 pages
- Next.js + CMS
- SEO & schema baseline
Growth Site
3-5 weeks
SMBs that want a lead engine
- 8-30 pages
- Blog / CMS
- AEO/GEO content structure
Commerce Sprint
4-6 weeks
DTC / e-commerce brands
- Headless Shopify or Next.js commerce
- Payments
- Performance-tuned PDP & checkout
MVP Sprint
6-10 weeks
Pre-seed / seed founders
- Core-feature web app / SaaS
- Auth + database
- Deployed & measured
Most Java and Spring Boot work is scoped, not tier-dropped
A bespoke enterprise system, microservices platform or standalone API is genuinely scoped work, so it enters through our custom software Discovery Sprint from $1,000, which ends in a written architecture, scope and a fixed build quote (credited toward the build). The tiers above fit smaller, more standard builds. A Spring Boot backend usually pairs with a separate front end, which is part of our web design and development service.
See full package details on pricing and our custom software service.
Java and Spring Boot, answered
What is Spring Boot used for?
Spring Boot is the most widely used framework for building backends on Java (and Kotlin) - REST and gRPC APIs, microservices, and large business systems. It layers auto-configuration, an embedded server and production defaults on top of the Spring ecosystem, so teams ship services fast without wiring everything by hand. It is the default choice for enterprise Java backends, and on Spring Boot 4 it targets modern Java with virtual threads and GraalVM native images.
Is Java good for backend development?
Yes - Java is one of the most proven backend languages there is, and it runs a large share of the world's banking, insurance and enterprise systems. Its strengths are exactly what heavy backends need: strict static typing that catches errors at compile time, mature multithreading, a deep, enterprise-hardened library ecosystem, and long-term stability. With Spring Boot on top, it is a strong default when the workload is large, transaction-heavy and long-lived.
Java vs Node.js - which is better?
Java with Spring Boot is the safer pick for large, transaction-heavy enterprise systems with strict typing and long-lived teams. Node.js is faster to build with, lighter to run, and better for real-time and API-gateway work. Neither is better in the abstract - it depends on your workload and your team, and we build in both.
Java vs Python - which should I choose?
Java with Spring Boot is the safer pick for large, transaction-heavy enterprise systems with strict static typing and long-lived teams. Python is faster to build with, far stronger for data and machine learning, and more readable for evolving products. Neither wins in the abstract - it depends on your workload and team, and we build in both.
Java vs .NET (C#) for backend?
Both are mature, statically typed, enterprise-grade platforms, and honestly the deciding factor is usually your team and your ecosystem, not raw capability. Java on the JVM has the broadest cross-platform reach, the largest open-source middleware ecosystem, and Spring Boot as a de-facto standard; .NET is an excellent choice for teams already invested in the Microsoft and Azure stack. We build Java and Spring Boot; if your organization is committed to .NET, we will tell you that plainly rather than talk you onto our stack.
Java vs Go for backend?
Go compiles to a single small binary with fast startup and low memory, which makes it excellent for infrastructure, high-throughput networked services and cloud-native tooling. Java brings a richer ecosystem, mature frameworks like Spring Boot, and a stronger fit for complex business logic and large, long-lived enterprise systems - and virtual threads plus GraalVM native images have closed much of the old startup and footprint gap. For heavy business systems where a JVM team and the Spring ecosystem matter, Java is usually the better long-term fit.
Spring Boot vs plain Java or plain Spring?
Plain Java gives you the language and standard library but no web framework - you would assemble everything yourself. Spring is the broader application framework; Spring Boot is the opinionated layer on top that adds auto-configuration, an embedded server and production-ready defaults, so you can ship a service in minutes instead of days. For almost every backend we build, Spring Boot on modern Java is the right starting point.
Is Java still relevant or worth it in 2026?
Yes, and it is more modern than its reputation suggests. Java 25 LTS (September 2025, supported into the 2030s) builds on a decade of language modernization - records, sealed classes and pattern matching cut the old verbosity - and virtual threads from Project Loom plus GraalVM native images address the historical JVM concurrency and startup-and-memory trade-offs. It still runs an enormous share of enterprise and banking systems, Spring Boot remains the dominant backend framework, and the talent pool is large. The honest trade-offs remain - Java is more ceremonious than Python or Node for small services, and a warm JVM uses more memory than a Go binary - but for large, transaction-heavy systems those are usually acceptable, and virtual threads plus native images narrow them further.
What are virtual threads in Java?
Virtual threads (Project Loom) are lightweight threads managed by the JVM rather than the operating system, so a Spring Boot service can handle very large numbers of concurrent requests with simple blocking code instead of complex async plumbing. They reached production in Java 21 and matured in Java 25, which fixed the earlier thread-pinning limitation. In practice they give Java much of Node's high-concurrency I/O benefit while keeping Java's strict typing and mature tooling - you turn them on in Spring Boot with a single property.
Is Spring Boot good for microservices?
Yes - Spring Boot is the standard for Java microservices, and Spring Cloud adds the surrounding pieces: service discovery, configuration, resilience and API gateways. It also fits both directions of the common 2026 pattern - building new microservices, and breaking a legacy monolith apart incrementally using the Strangler Fig approach. We will also tell you when a modular monolith is the smarter, cheaper choice, because microservices are not free.
Kotlin or Java for Spring Boot?
Both are first-class on Spring Boot - Spring Boot 4 shipped next-level Kotlin support - so this is a team-and-preference call, not a capability gap. Kotlin is more concise and adds null safety and coroutines, which many teams prefer for new services; Java has the larger talent pool and is the safer default for a big existing Java codebase. We build Spring Boot in either. Kotlin for native Android is a different job - that lives on our mobile app development page.
Can you migrate our legacy Java, or move Java 8 to Java 21 or 25?
Yes - upgrading old Java (Java 8 or 11) to Java 21 or 25 LTS and migrating legacy Java EE or older Spring to modern Spring Boot is core work, and one of the highest-value things you can do in 2026. We do it incrementally and safely, typically with the Strangler Fig pattern so the old and new run side by side until each piece is proven, rather than a risky big-bang rewrite. Because scope varies a lot, we usually start a migration with a paid Discovery Sprint to map the system and de-risk the plan before quoting the build.
Does this website run on Java?
No - and we won't pretend it does. This site is a static Next.js and React build, and even the build toolchain runs on Node, not the JVM, so Java and Spring Boot power none of what you're reading. We could have added a Powered-by-Spring-Boot badge in minutes; we didn't, because that's the moment you could no longer trust anything else on the page. The proof here is the engineering depth of this page and the standard Spring Boot code, database and IP you own outright.
How much does Java or Spring Boot development cost?
We publish fixed tiers instead of a quote wall: Starter from $300, Launch Sprint from $1,500, Growth Site from $4,000, Commerce Sprint from $7,000, and an MVP Sprint from $12,000 for a web app with a real backend. Most serious Java and Spring Boot work is a bespoke system, so the honest path is a custom-software Discovery Sprint from $1,000 that scopes the architecture and gives you a fixed price before any build starts. Either way the pricing is published up front - no quote wall.
Do I own the code?
Yes - you own 100% of the code, IP and data outright. We build on standard, open-source Spring Boot with no proprietary framework and no lock-in, so any competent Java team can maintain it after us. Intention InfoService has been a registered company since 2016, and ownership is written into the engagement.
Ready to build with Java and Spring Boot?
Get a fixed-price quote or a Discovery Sprint for a Java and Spring Boot backend - standard Spring Boot you own outright, no lock-in, and a straight answer on whether Java is even the right call. No quote wall, no hourly rate.