Spring Boot Java Development in Romania

What a Java backend delivery looks like

We build business backends with cleanly modelled domains, correct transactions, versioned APIs and scheduled processing. Spring Boot is the default for its ecosystem and integrations, Quarkus fits when you want quick startup and a small footprint in containers, and Micronaut suits small services with compile-time injection. On top we add Kafka messaging, versioned schema migrations, audit trails and integration tests that start a real database rather than a simulated one.

• Versioned REST APIs with uniform error handling
• Integrations with ERP, banking and e-invoicing systems
• Batch jobs that resume from the point of failure
• Backward-compatible schema migrations, applied apart from code

Sizing the JVM on a VPS or dedicated server

A Spring Boot application needs predictable memory, not a shared plan. We start on a VPS with Docker: a minimal JRE image, heap limits aligned with the container limit, a TLS reverse proxy in front and the database on a private network. Heavier estates move to a dedicated server with ECC memory on the server tiers and a 99.99 % SLA, in Frankfurt. We watch pause times, startup time and real memory under load, not defaults.

Keeping old Java systems running

Many Romanian Java applications are ten to twenty years old and still carry daily operations, so we do not reach for a rewrite by reflex. We list dependencies and integrations, put tests around the critical flows, move the code to a supported JVM and package it in a container. The modules that cause the most pain can then be separated gradually behind clear contracts, instead of in one risky migration over a weekend.

Where your monthly hours go

Requests go through the DevOps Services section of the client panel, with a deadline you propose. On Java projects hours tend to fund version jumps from Java 8 or 11 to 17 and 21 and from Spring Boot 2 to 3, removal of vulnerable dependencies, heap and garbage-collection tuning, and new integrations with ERP systems or ANAF e-Factura. Hours are per calendar month and are not carried over; extra hours are accepted and billed separately.

How we work

1. Request from the panel

   Open a request, tell us the Java and Spring versions, the existing integrations and the deadline you propose.

2. Analysis and estimate

   We inventory the dependencies, check compatibility, measure current memory use and return an estimate in hours, including the part your monthly allowance covers.

3. Delivery on a matching environment

   Changes are built on a branch, integration tests run on an environment identical to production, and the switch happens in a window agreed with you.

4. Handover with documentation

   You receive JVM parameters, run manifests, schema migration notes, the rollback procedure and a report of the hours consumed from your plan.

Use cases

Technology stack

• Java 21
• Spring Boot 3
• Quarkus
• Micronaut
• Maven
• PostgreSQL 16
• Apache Kafka
• Flyway
• Docker
• Kubernetes

Frequently asked questions

• Spring Boot, Quarkus or Micronaut: which should we choose?

  Spring Boot when you want the widest ecosystem and ready-made integrations. Quarkus when fast startup and low memory matter, typically in Kubernetes with many instances. Micronaut for small services with compile-time injection. In practice most Romanian projects stay on Spring Boot, and we confirm that at scoping.

• Where can I host a Spring Boot application in Romania?

  On a VPS with Docker or a dedicated server in Frankfurt, not on shared hosting. You get root access, NVMe storage and a private network for the database, and your plan includes monthly programming hours for deployment, upgrades and tuning.

• How much memory does a Spring Boot application need in production?

  There is no single figure: it depends on the framework features you use, caching and traffic. We measure the live application, set the heap as a percentage of the container limit and watch real usage under load, rather than guessing from defaults or from a sizing table.

• How do you containerise and tune the JVM?

  We build a multi-stage image with a minimal JRE and an unprivileged user, then set the heap relative to the container memory so the JVM respects its limits. We pick a garbage collector that fits the workload, expose metrics and follow pauses, startup time and real consumption under load.

• Can you take over a Java application someone else wrote?

  Yes, it is the most common case. We start by reading the code and the integrations, note the risks and missing tests, then propose an order of work that fits the included hours. We do not require a rewrite as a condition and we do not lock the code in.

• Should we rewrite our Java services in Go?

  Rarely. A rewrite makes sense when memory or startup cost is measurably limiting you and tuning has run out. For enterprise integration and batch work the JVM ecosystem usually wins, and your team's skills count for a lot. We run the numbers with you before anyone writes new code.