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Java application migration

Migrate critical applications to a leaner Java and cloud stack.

devFlorence migrates established Java and Java EE applications using current Java, Jakarta EE, MicroProfile, Quarkus, and GraalVM. We move in controlled increments, minimize dependencies, and prefer cloud or serverless deployment when it simplifies operations.

Discuss your migration See the migration path
Java-first
Java EE to current Java
Incremental
deployable steps
Lean
fewer dependencies
Cloud-ready
serverless preferred

What we migrate

Change the constraints that hold the application back.

The target follows the real problem: unsupported technology, heavy runtime dependencies, difficult releases, or an operating model that no longer fits.

01 · Platform

Java and Java EE migration

Move older Java, Java EE, and application-server workloads toward current Java, Jakarta EE, and MicroProfile APIs.

02 · Runtime

Quarkus and GraalVM adoption

Use a compact runtime and native images where faster startup, lower memory use, or serverless execution matters.

03 · Deployment

Cloud and serverless delivery

Prefer AWS managed services and Lambda when they reduce operational work; use containers where the workload requires them.

Lean migration path

Assess. Protect. Migrate. Deploy.

Each increment is reviewable, deployable, and useful on its own.

  1. 01

    Assess

    Map code, data, dependencies, integrations, runtime limits, and the business behavior that must remain stable.

  2. 02

    Protect

    Add characterization, contract, and integration tests around the behavior affected by the next change.

  3. 03

    Migrate

    Upgrade, replace, or extract one bounded part of the system, then verify it before moving further.

  4. 04

    Deploy

    Release the accepted increment to the target platform with observability and a practical rollback path.

Technology and principles

Standards first. Dependencies kept on a short list.

Technology choices support the migration instead of becoming a second migration project.

AI has a supporting role. It can accelerate repository analysis, test scaffolding, and repeatable changes. Engineers remain responsible for architecture, security, review, and production releases.

Language and APIsJava · Java EE · Jakarta EE · MicroProfile
RuntimeQuarkus · GraalVM native image
ArchitectureKISS · YAGNI · explicit ECB boundaries
DeploymentAWS · Lambda · managed services · containers when needed

Applied experience

Production experience behind every migration decision.

devFlorence brings more than 30 years of software engineering and 28 years across the Java ecosystem. Neurons demonstrates the same approach in a working product built with Java, Quarkus, GraalVM, AWS Lambda, and managed serverless services.

Review Alessandro's experience See Neurons

Start with the application, its constraints, and the result the business needs.

Discuss your migration