Java web development

Java web development services

Spring Boot systems built for the decade they'll run, not the quarter they ship in.

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  • 40+AI systems shipped to production
  • 3.5×Median speed-up vs. in-house build
  • 99.9%Uptime across deployed models
What we build

Java web application development services

Java is chosen for systems where being wrong is expensive and being slow to change is survivable. Core banking, claims processing, order management, and the integrations holding them together. Our Java web development services are shaped around that trade: correctness first, and a codebase that can still be modified by people who did not write it.

Java version and Jakarta EE migration

Java 8 and 11 applications, and the javax to jakarta namespace break that blocks every Spring Boot 3 upgrade. This is the most common reason Java systems stall, and the cost sits almost entirely in third-party dependencies rather than in your own code.

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Event-driven systems with Kafka

Kafka is a Java-native technology and the integration is first-class. Event sourcing, stream processing, and services that scale independently, with consumer semantics designed rather than assumed.

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Tech & tools

Our Java web development stack

The first question on any Java engagement is which Java you're on, because it determines what's available and what's blocked.

Java 25 LTS

Current LTS for anything new and anything migrating. Cross-platform, materially faster virtual threads, and still receiving investment. This is the default we recommend unless a hard dependency blocks the move.

Java 8 and 11

Only where a dependency genuinely blocks the move. Both are well past the point where staying is a neutral decision, and we will put a number on the cost of staying rather than leave it implicit.

Spring Boot by default

Spring Boot for the large majority of work — mature, extensively documented, and the ecosystem a new engineer already knows. Quarkus or Micronaut where startup time is a real constraint.

Hibernate through Spring Data for most persistence, with JOOQ or plain JDBC where a query needs hand control. Quarkus or Micronaut where startup time is a real constraint — serverless deployment and aggressive autoscaling are the cases where a GraalVM native image earns its build complexity. Most systems do not need it, and we will say so.

Language & runtime

  • Java LTS logoJava LTS
  • Kotlin logoKotlin
  • Spring Boot logoSpring Boot
  • Jakarta EE logoJakarta EE

Data

  • PostgreSQL logoPostgreSQL
  • Oracle logoOracle
  • Hibernate logoHibernate
  • Spring Data logoSpring Data
  • Flyway logoFlyway
  • Redis logoRedis

Messaging

  • Kafka logoKafka
  • RabbitMQ logoRabbitMQ
  • Spring Cloud Stream logoSpring Cloud Stream

Build & infra

  • Maven logoMaven
  • Gradle logoGradle
  • Docker logoDocker
  • Kubernetes logoKubernetes
  • GitHub Actions logoGitHub Actions

Quality

  • JUnit 5 logoJUnit 5
  • Testcontainers logoTestcontainers
  • ArchUnit logoArchUnit
  • Micrometer logoMicrometer
  • OpenTelemetry logoOpenTelemetry
How we design

Java web application architecture

Java systems rarely fail suddenly. They accumulate decisions that each made sense and together make the system expensive. Four we make deliberately.

Which Java, and whether jakarta is blocking you

Java 8 to a current LTS is not just a version bump, because Spring Boot 3 also requires the javax to jakarta namespace change across every dependency you use. A library that never made the switch blocks the whole upgrade. We audit the dependency tree first, because that audit is the actual project.

Virtual threads or reactive

Before virtual threads, handling high concurrency with blocking I/O meant a thread per request, and threads were expensive, so teams adopted WebFlux and a reactive programming model that is harder to write, harder to debug, and harder to hire for. Virtual threads made blocking code cheap. Reactive still earns its place for streaming and genuine backpressure. It rarely earns it for a REST API.

Where the persistence session ends

Hibernate's lazy loading is convenient until a query is triggered from a template or a serializer with no idea what it costs. Open session in view hides this and we turn it off. Queries terminate at the service boundary, DTO projections rather than entities cross it, and query budgets are asserted in tests.

Heap, GC, and startup

The JVM needs telling about container memory limits, and a wrong heap setting shows up as an OOM kill rather than an error you can read. GC choice follows the workload rather than the default. Where autoscaling is aggressive, startup time becomes an architectural concern rather than an annoyance.

How we ship

Our Java development portfolio

Enterprise Java buyers respond to migration proof more than to greenfield builds, because migration is the thing they're afraid of. The pattern we use: audit dependencies first, keep the system shippable throughout, and leave the upgrade path open.

Version migrations

Sequence the jakarta move. Do not freeze production.

The obvious approach — stop features, upgrade everything, cut over in one weekend — is how Java migrations become rewrites nobody planned for.

We audit the dependency tree first, because a library that never made the javax to jakarta switch blocks the whole Spring Boot 3 upgrade. That audit tells you whether this is a three-week job or a three-month one.

Domain logic stays separable from the framework shell, so next year's LTS upgrade is a planned effort rather than a quarter-long freeze.

Performance work

Tell the database from the GC first.

Slow Java is usually the database or the garbage collector. We profile under production-shaped load, fix query problems and memory problems separately, and leave you with metrics to catch the next regression before your users do.

See our work

Migration

Java 8 to current LTS, still shippable

javax to jakarta namespace breaks block most Spring Boot 3 upgrades. We audit third-party dependencies first and sequence the move so production keeps shipping.

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Enterprise APIs

Integrations with typed contracts

Core banking, payment rails, and ERPs with behaviour documented only in the code. Integration tests against real containers, not mocks that agree with you.

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Event-driven

Kafka pipelines at scale

Consumer semantics designed rather than assumed. Stream processing and services that scale independently on a Java-native messaging stack.

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Industries

Java web development across industries

Domain logic differs by sector. The cost of getting it wrong does not.

Java web development for banking and payments platforms

Banking and payments

Core banking, ledgers, and payment processing, where Java holds the ground it does because the alternative to correctness is a reconciliation problem. Transactional integrity, audit trails, and reporting built to survive an examiner rather than a demo.

Explore Fintech
Java web development for insurance policy and claims systems

Insurance

Policy administration, claims, underwriting rules, and rating engines. These systems encode decades of rules that nobody can fully describe, which is why replacing them fails and modernizing them incrementally works. We map before we cut.

Explore industries
Java web development for telecom and high-volume platforms

Telecom and high-volume platforms

Systems where throughput is the requirement rather than a nice property. Kafka pipelines, back-pressure handling, and JVM tuning against realistic load rather than a benchmark that flatters the design.

Explore SaaS
Java web development for retail order management at scale

Retail at scale

Order management, inventory, and fulfilment across channels. The hard part is consistency between systems that each believe they hold the truth, which is an integration problem before it is an application problem.

Explore E-commerce
Java web development for logistics and transportation systems

Logistics and transportation

Routing, scheduling, tracking, and the integrations into carrier and warehouse systems that were built before anyone considered an API. Java's ability to talk to old infrastructure matters more here than any framework feature.

Explore Logistics
Discovery

Plan your Java project

Bring us the system you're building, or the Java 8 application you have been putting off. Discovery takes one to two weeks and produces an architecture proposal and a fixed estimate.

You keep the document either way.

Java web development company — technical discovery call
Scoping

Java web development cost factors

We scope from the constraint, not from a price list. Five things move the number on a Java build.

Java web development cost factors — production infrastructure

Which Java you're starting from

Greenfield on a current LTS, a Java 11 application that migrates cleanly, and a Java 8 application with a jakarta-blocking dependency are three different projects. The dependency audit comes before the estimate.

Existing test coverage

On legacy Java work this drives more cost than the code does. Changing a system with no tests means writing tests first or accepting risk we would not accept on your behalf.

Integration count and integration quality

Eleven documented APIs cost less than three internal systems whose behaviour lives only in the code that calls them.

Whether the architecture is reactive

WebFlux codebases take longer to change and longer to onboard onto. If a move back to virtual threads is on the table, that is its own scoped piece of work with its own return.

Who operates it after launch

A system your team runs needs different documentation, tooling, and observability than one we maintain.

Discovery produces a fixed estimate. You see the number before you commit to the build.

When Java is the wrong choice

We would rather tell you now than three months in.

  • An MVP with an unproven idea

    Java rewards systems that live for a decade and taxes ones that might not survive the quarter. If you need a market answer in eight weeks, Django or Laravel gets you there sooner.

  • Cold-start-sensitive serverless

    JVM startup is real. GraalVM native images help and bring their own build and debugging costs. If the workload is short-lived functions, another runtime is usually less total work.

  • Machine learning and data science

    The libraries live in Python and it is not close. We build the Java service and put Python underneath it rather than pretending otherwise. Python web development services.

  • A small team with no Java experience

    The best stack is often the one your engineers can maintain on a Tuesday without calling us.

We build in eight stacks. The recommendation follows the problem. Custom .NET development, custom app development, and Python web development when Java is not the fit.

How we engage

Java development engagement models

All three carry the same handover terms. Source, infrastructure, and documentation are yours throughout, and you have repository access from the first sprint.

Fixed scope

Defined requirements, agreed deliverables, a fixed price. Best when the problem is well understood and the boundary is clear. You know the total before work starts, and change requests are priced separately rather than absorbed silently.

Variable scope

Sprint-based delivery with priorities set at each sprint boundary. Best when discovery is ongoing or requirements will move. Usually the right shape for migration and decomposition work, where the third month teaches you what the first could not.

Staff augmentation

Our Java engineers working inside your team, under your process and your management. Best when you have the direction and need capacity. Engineers stay with your project rather than rotating.

How we work

Our Java web development process

Xorora Java web development process from discovery to handover — a defined path with repository access from the first sprint.

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How to choose

Choosing a Java web development company

Ask any Java web development company three questions. Where do they stand on virtual threads versus reactive, and can they defend it. How do they handle the persistence session boundary. What is their sequence for a jakarta migration that keeps the system shippable throughout. Those answers separate engineers who have maintained Java systems from ones who have only started them.

The honest case for an in-house hire: if this platform is your core product and needs continuous work for years, hire. We will say so on the call. Our work is strongest when you need senior Java capacity now, when a migration has a defined end, or when your team needs the first version built properly and then handed over.

CriterionXororaIn-house hireFreelancer
Time to start1–2 weeks10–16 weeks to hire1–3 weeks
Senior Java availabilityImmediateCompetitive and costlyVariable
Migration experienceIncludedDepends on the hireRarely
Continuity if someone leavesTeam-backedSingle point of failureSingle point of failure
Upgrade path maintainedYesDependsRarely
Source and infra ownershipYoursYoursNegotiate
Time to start
  • Xorora

    1–2 weeks

  • In-house hire

    10–16 weeks to hire

  • Freelancer

    1–3 weeks

Senior Java availability
  • Xorora

    Immediate

  • In-house hire

    Competitive and costly

  • Freelancer

    Variable

Migration experience
  • Xorora

    Included

  • In-house hire

    Depends on the hire

  • Freelancer

    Rarely

Continuity if someone leaves
  • Xorora

    Team-backed

  • In-house hire

    Single point of failure

  • Freelancer

    Single point of failure

Upgrade path maintained
  • Xorora

    Yes

  • In-house hire

    Depends

  • Freelancer

    Rarely

Source and infra ownership
  • Xorora

    Yours

  • In-house hire

    Yours

  • Freelancer

    Negotiate

Good to know

Java web development FAQs

Ask where they stand on virtual threads versus reactive and make them defend it, because that answer reveals whether they track the platform or repeat what was true in 2019. Ask how they handle Hibernate's session boundary. Ask how they would sequence a jakarta migration so the system stays shippable. Also ask who owns the source and infrastructure after launch.

Power your next digital move.

Tell us what you're building, or what you're stuck maintaining. We will tell you what it takes, what it costs, and whether Java is the right call.

Most conversations start with a 30-minute technical call. No deck.

See our work
info@xorora.com
+1 512-764-7666
+92-332-0555328