Custom Java Development
Custom Java applications and web-based business systems, built on Spring Boot or Jakarta EE depending on what you already run.
TECHNOLOGY
Spring Boot services, enterprise integrations and JVM performance work for USA teams including the upgrade path off a Java version that stopped getting update
The four engagements that most often start a Java relationship.
Custom Java applications and web-based business systems, built on Spring Boot or Jakarta EE depending on what you already run.
Legacy Java apps moved to a supported LTS and a modern runtime audit first, stabilize the risk, then migrate in phases.
Java APIs and enterprise application integration, connecting systems that were never designed to talk to each other.
Senior Java consultants and self-managed Java teams working alongside your in-house developers.
Java development is building software on the Java platform the language, the JVM it runs on, and the ecosystem of frameworks around it. Java's defining property is portability: compiled bytecode runs on any machine with a compatible JVM, which is why platform-independent development has been Java's pitch since the beginning and why so much enterprise infrastructure sits on it.
In practice, most Java work in US businesses falls into three buckets. New services and APIs, usually Spring Boot. Enterprise applications on Java EE or Jakarta EE, often behind an application server. And the largest bucket by far: systems that already exist and can't be switched off.
That third one is where most of the real work is, and it's what this page is mostly about.
Java gets written about as though it were legacy. It isn't it's established, which is a different thing, and there are places where it remains the correct answer rather than the inherited one.
Long-lived systems. Java's backward compatibility is unusually strong. Code written years ago generally still runs, which matters enormously for a system expected to last another decade.
Regulated environments. Financial services, insurance and healthcare run on Java, and the hiring pool, tooling and audit practices around it are mature. We cover the sector specifics on our fintech software development page.
Systems where the team already knows it. The best stack is frequently the one your people can maintain at 2am. Rewriting a working Java system in something newer is a cost most businesses don't recover.
Workloads that benefit from the JVM. Long-running, high-throughput services where the JIT compiler has time to do its job.
This is the part most Java pages haven't updated, and it changed recently enough to matter.
Oracle designates certain Java SE releases as Long-Term-Support. The current LTS is Java 25, released September 2025. The ones before it are at different stages of their support life:
| Release | Premier support | Status |
|---|---|---|
| Java SE 8 | Ended March 2022 | Extended support only |
| Java SE 11 | Ended September 2023 | Extended support only |
| Java SE 17 | Ended September 2026 | Extended support only |
| Java SE 21 | Through September 2028 | Current, supported |
| Java SE 25 | Through September 2030 | Latest LTS |
Java 17's premier support ended in September 2026. A lot of US enterprise estates standardized on 17 and are now past that line without having planned for it.
Being on extended support isn't an emergency. It is a budget line and a decision you should be making deliberately rather than discovering during a security review.
What an upgrade actually involves. Rarely the language — Java's compatibility is good. The work is in the dependencies: libraries that haven't been updated, build tooling, reflection-based frameworks that break on stricter module rules, and anything relying on APIs removed between versions. We approach it the same way as any legacy modernization: audit, then move in steps with tests at each one, rather than a single jump that nobody can roll back.
If your application runs on an application server JBoss or WildFly, WebLogic, WebSphere, or Tomcat there's a second migration sitting alongside the version upgrade, and teams often discover it halfway through the first one.
When Java EE moved to the Eclipse Foundation and became Jakarta EE, Jakarta EE 9 replaced the javax.* namespace with jakarta.*. Every import changes. Every library you depend on has to have made the same move. Tomcat 10 and later, and Spring 6 and later, are on the new namespace; earlier versions are not.
That makes it a dependency problem rather than a find-and-replace. An automated tool handles the imports in your own code in an afternoon. What it can't handle is a third-party library that was abandoned before the change and that's the one that decides your timeline.
The practical sequence is to inventory dependencies first, identify the ones with no jakarta.* version, decide on each (upgrade, replace, or fork), and only then start moving code. Teams that start with the code find the blocker in week three.
Lifting a Java application into a container isn't the same as making it cloud-native, and the difference shows up on the invoice.
Three things usually need attention:
Startup time and memory. A traditional JVM application that takes a minute to start and holds a large heap is awkward in an environment that scales by adding instances. Class data sharing, tiered compilation settings and right-sized heaps help; so does being honest about whether this workload should autoscale at all.
Configuration and state. Applications built for a fixed server often read from local files, write to local disk, or hold session state in memory. All three have to move before horizontal scaling means anything.
The application server question. If you're on JBoss or WebLogic, containerizing the server is possible and often the pragmatic first step. Moving the application off it onto Spring Boot is more work and a better destination. Which one is right depends on how much of the server's features you actually use and the honest answer is frequently "fewer than you'd think." That scoping conversation is DevOps and cloud engineering work as much as Java work.
We'd rather say this on the page than in month two.
Short-lived functions. If the workload is a function that runs for 200 milliseconds and scales to zero, JVM startup is working against you. Something with a faster cold start fits better.
Small teams without Java experience. Java's ecosystem rewards depth. A four-person team with no Java background will move faster on a stack they already know, and the maintenance burden lands on them, not on us.
Front-end work. Obvious, but it still comes up. Java's place is the back end the interface belongs to front-end development.
A working system you want rewritten. If an existing Java application does its job and the complaint is that it's "old," a rewrite is usually the most expensive way to solve a maintenance problem. Rewrites are one of the most reliable ways to turn a working system into a failed project. Modernize it instead.
If an off-the-shelf product covers 80% of what you need, buy it. The build versus buy decision is worth settling before anyone writes code.
What a Java engagement looks like day to day.
CONTINUITY
The Java engineers who scope your project are the ones who write it. No handover after signature, and no account manager relaying questions to people you never meet.
TIMEZONE
We agree a fixed daily overlap window before the engagement starts and hold it. Standups, reviews and releases sit inside it; everything else runs asynchronously by design, with written updates.
MIGRATION DISCIPLINE
Version upgrades and namespace migrations are where Java projects quietly go wrong. We move in increments that each build, each pass tests, and each can be rolled back rather than one jump that nobody can reverse once it's started.
TIMEZONE
We agree a fixed daily overlap window before the engagement starts and hold it. Standups, reviews and releases sit inside it; everything else runs asynchronously by design, with written updates.
JAVA
Four things worth knowing before you shortlist a Java development company.
Most Java systems people want replaced should be modernized instead. You'll hear that before the contract, not after.
Version and namespace migrations are decided by your third-party libraries, not your code. We find the blockers in week one.
No migration that can't be reversed. Each increment builds, tests and ships on its own.
Source code, infrastructure definitions and design files in your accounts from day one. Nothing about your system depends on us staying.
Years building products
Products shipped
Clients who come back
Response time
Java 8 and 11 premier support ended in 2022 and 2023, and Java 17's ended in September 2026. All three are on extended support only, with Java 25 the current LTS. Being on extended support isn't an emergency it's a budget line and a decision worth making deliberately rather than discovering during a security review. The work is almost never the language; it's the dependencies, the build tooling, and anything relying on APIs removed between versions.
It depends almost entirely on your dependency tree, which is why we inventory it before quoting. An application with actively maintained libraries moves in increments, each one building and testing on its own. An application with an abandoned third-party library that has no modern version is a different project that single dependency usually sets the timeline, and the honest answer only exists after someone has looked.
When Java EE became Jakarta EE, release 9 replaced the javax.* namespace with jakarta.*. It affects you if you run on an application server or use Jakarta EE APIs. Tomcat 10 and later and Spring 6 and later use the new namespace; earlier versions don't. Automated tooling rewrites imports in your own code quickly. What it can't fix is a dependency that was abandoned before the change, so the inventory comes first.
Yes, and the useful question is usually whether you should stay on one. Containerizing the application server is the pragmatic first step and often the right one. Moving off it onto Spring Boot is more work and a better destination. Which fits depends on how many of the server's features you actually use, and in our experience that's fewer than teams expect.
Usually not. A working system whose only problem is its age is a maintenance question, not a rewrite question, and a rewrite trades a known set of problems for an unknown one while delivering no new value for months. We start with a technical audit, stabilize the highest-risk areas, then evolve the system. Where a rewrite genuinely is the answer, we'll say so and explain why.
For long-lived systems, regulated environments, high-throughput back-end services, and teams who already know it yes. For short-lived serverless functions where cold start dominates, or a small team with no Java background, something else will serve you better. We'd rather talk you onto the right stack than onto ours.
Both. Senior Java consultants can work as a self-managed team taking an entire scope, or alongside your in-house developers on an agreed overlap. Which model fits depends on whether you need capacity or you need the project owned end to end.
Tell us what you're running and we'll tell you how we'd approach it scope, timeline and estimate, at no cost.