Can Spring Boot connect to our existing systems?

Usually yes, and this is often the reason clients come to us. Java has mature connectors for enterprise databases, message queues, SOAP services, and older internal systems, so new applications can talk to what you already run.

How does Java compare to Node.js for our backend?

Node handles many simultaneous connections efficiently and suits real-time features. Java handles computation and complex transactions better, with stronger typing across a large codebase. Plenty of systems use both, each doing the part it is suited to.

Can we write Spring Boot in Kotlin instead?

Yes. Kotlin runs on the JVM and Spring Boot supports it fully, which appeals to teams who prefer a more concise language while keeping the same ecosystem and libraries. Both are reasonable choices and we build in either.

How long will this stay supportable?

Long-term support Java releases receive updates for years, and Spring Boot publishes its support timelines openly. We build on LTS versions specifically so your upgrade schedule is something you plan around rather than something forced on you.

Java Spring Boot
Development Services

Stateside Digitals provides Java Spring Boot development services, building the backend systems businesses depend on for transactions, integrations, and processing that has to be correct every single time.

Spring Boot is a framework for building Java applications that removed most of the configuration Java was once notorious for. Where a project used to open with days of setup files before anything ran, Spring Boot starts with sensible defaults and asks you to override only the parts your particular application genuinely needs to change.

For a business, Java’s real value is longevity. Strong typing and mature tooling mean a large change can be made with the compiler checking the work rather than hoping the tests catch everything afterward. Applications built this way routinely run a decade or more, which is why banks, insurers, and logistics operators keep choosing it over newer options.

Safe To Refactor

Change Code Without Fear

The compiler and tooling catch what a rename or restructure would break, so improving a large codebase stays a normal task rather than a risk.

Handles Heavy Lifting

Real Multithreading Inside

Java uses every core available, so calculation-heavy work runs in the same application instead of being pushed out to a separate service.

Built To Outlast Trends

Support Measured In Decades

Long-term support releases and a stable ecosystem mean the decisions made this year will still be reasonable ones a long way down the line.

Transactional Systems

Payments, orders, and ledgers where a partial failure has to roll back cleanly and the numbers must reconcile at the end of every day.

Legacy System Integration

Connecting modern applications to the ERP, mainframe, and older enterprise software your operation still runs on, without asking anyone to replace systems that work.

High-Volume Processing

Overnight batch runs, reconciliation, and bulk imports moving millions of records on a schedule that cannot slip into business hours.

Spring Boot is closely associated with microservices, and plenty of teams have split an application into a dozen services because that is what the architecture diagrams they were shown looked like. For most businesses that is premature. A well-organized single application is easier to build, deploy, debug, and staff than a distributed one.

Microservices earn their complexity when parts of your system need to scale differently, when separate teams have to release without coordinating with each other, or when one component genuinely cannot share a database with the rest. We usually start from a modular monolith and split pieces out when the pressure is real rather than anticipated.

We build on long-term support Java releases with current Spring Boot, using Spring Security for authentication, Spring Data JPA for persistence, and Spring Batch where scheduled processing is involved. Data sits in PostgreSQL, Oracle, or SQL Server, with Kafka or RabbitMQ for messaging. Everything is containerized and deployed to AWS, Azure, or your own infrastructure.

Spring Boot
Java
Spring Security
Spring Data JPA
Spring Batch
PostgreSQL
Kafka
RabbitMQ
Docker
AWS
Azure
Kotlin

LTS Java, Not Latest

Security Configured Properly

Observability From Day One

Documented For Handover

We build on long-term support releases, so your upgrade schedule is something you plan around rather than something a version sunset forces on you.

Spring Security is set up deliberately rather than copied from a tutorial, because the defaults people paste in are where most Java breaches start.

Metrics, health checks and structured logs ship with the first release, so a production problem is something you can see rather than reconstruct.

Architecture decisions and environment setup are written down while they are fresh, because this code will outlast the people who wrote it.

LTS Java, Not Latest

Security Configured Properly

Observability From Day One

Documented For Handover

It can be. For a small product or an MVP that needs to launch in weeks, something lighter usually gets you there faster, and we will say so. Java earns its weight when correctness, integration, and a long operating life matter more than initial speed.

Java Spring Boot
Development Services