Java Legacy Migration Services

Chudovo’s Java Legacy Migration Services include migrating legacy Java EE-based systems, JBoss-based systems, WebLogic-based systems, and monolithic Java-based systems to more modern architectures using Spring Boot, cloud-based architectures, or microservices-based architectures.
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Our Legacy Java Application Migration Services

Our Awards

Top Java Development Company 2026 by Feedbax
Top Software Developers in USA 2026 by Techreviewer
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Why Choose Chudovo for Legacy Java Application Modernization

  • Experience in Java application development, legacy migration, and modernization since 2006, with delivered projects across enterprise Java EE, Spring, and cloud-native stacks
  • Assessment-first approach: all engagements begin with a written technical audit and migration roadmap approved by the client before work starts
  • Hands-on experience with JBoss, WebLogic, and WebSphere migration – including resolution of proprietary API dependencies and vendor-specific configuration
  • Phased delivery model – each phase produces a validated, deployable output, not intermediate work in progress
  • Full-stack migration capability covering application code, database layer, API modernization, and CI/CD pipeline setup
  • Software architects with experience across monolithic, microservices, event-driven, and serverless Java architectures
  • Fixed-price engagements available for well-defined migration scopes
  • Extensive experience in legacy systems modernization
  • Transparent weekly reporting with documented architecture decisions at each project stage
  • Clients range from SMEs to enterprises; the team also works with product companies modernizing long-running Java platforms

What Our Experts Say

Dmytro Chudov CEO & CTO
Java EE migrations are technically straightforward in principle, but expensive in practice when teams skip the assessment phase. The application server abstracts a lot of plumbing that the application code silently depends on - transaction management, connection pooling, JNDI lookups, security context propagation. When you move to Spring Boot, all of that has to be re-wired explicitly. Teams that go in without mapping those dependencies spend the back half of the migration fixing integration failures that should have been anticipated in week one. The assessment is not overhead - it is what makes the rest of the project predictable.
Dmytro Chudov
CEO/CTO

Technology Stack

Application Servers (source stacks)
Java Frameworks
Build Tools
Databases
Message Brokers
API Layer
Containerization & Orchestration
CI/CD & DevOps
Observability
Application Servers (source stacks)
  • JBoss EAP
  • WildFly
  • Oracle WebLogic
  • IBM WebSphere
  • Apache Tomcat
  • GlassFish
  • Payara
Java Frameworks
  • Java EE
  • Jakarta EE
  • EJB (2.x, 3.x)
  • JAX-RS
  • JAX-WS
  • JSF
  • CDI
  • Spring Framework
  • Spring Boot
  • Spring Cloud
  • Spring Security
  • Spring Data
  • Hibernate
  • JPA
  • Quarkus
  • Micronaut
Build Tools
  • Apache Maven
  • Gradle
  • Apache Ant
Databases
  • Oracle DB
  • IBM DB2
  • PostgreSQL
  • MySQL
  • Microsoft SQL Server
  • MongoDB
Message Brokers
  • Apache Kafka
  • RabbitMQ
  • IBM MQ
  • ActiveMQ
  • AWS SQS
  • Azure Service Bus
API Layer
  • REST, gRPC
  • SOAP/WSDL
  • GraphQL
  • OpenAPI/Swagger
Containerization & Orchestration
  • Docker
  • Kubernetes
  • Helm
  • Amazon EKS
  • Azure AKS
  • Google GKE
CI/CD & DevOps
  • GitHub Actions
  • GitLab CI/CD
  • Jenkins
  • Azure DevOps
  • ArgoCD
  • Terraform
  • SonarQube
Observability
  • Prometheus
  • Grafana
  • ELK Stack
  • Datadog
  • OpenTelemetry
  • Jaeger

Industries Our Teams Have Experience In

Healthcare industry Healthcare industry

Patient management systems, electronic health record systems, and medical device integrations using Java EE-based architectures are migrated with particular focus on HIPAA compliance requirements.

Financial industry Financial industry

Core banking systems, payment processing systems, and insurance policy management systems using Java EE-based WebLogic or WebSphere architectures are migrated with particular focus on transaction integrity.

Telecommunications industry Telecommunications industry

Billing systems, provisioning systems, and customer management systems in the Telecom industry often use Java EE-based architectures. We have significant experience in migrating Telecom systems with a particular focus on high availability requirements.

Manufacturing industry Manufacturing industry

Enterprise resource planning systems, production management systems, and other Java EE-based architectures in the manufacturing industry are migrated with particular focus on integration requirements with manufacturing execution systems.

Logistics and transportation industry Logistics and transportation industry

Route optimization systems, fleet management systems, and shipment tracking systems using Java-based architectures are migrated with particular focus on scalability requirements.

Retail industry Retail industry

Order management systems and customer-facing applications developed on old Java monoliths are refactored and migrated.  

Media and entertainment industry Media and entertainment industry

Content management and delivery systems developed on old Java EE platforms are refactored and migrated to containerized cloud-native applications.  

Education industry Education industry

Learning management systems and assessment systems developed on old Java stacks are refactored and migrated to new versions.

Why Migrate Legacy Java Systems

End-of-life application servers
Application servers used by businesses in the 2000s or 2010s, such as JBoss EAP, WebLogic, or WebSphere, have reached or are nearing the end of their vendor support life. Using an application server that is not supported by the vendor is a security risk, not to mention that we cannot get vendor fixes for new security issues that emerge.
Java version constraints
Using Java 6, 7, or 8, which were popular in the past, means we can't use new features from later versions. Also, we can't use newer versions of libraries that don't support older Java versions anymore.
Heavyweight deployment model
Java EE application servers do not allow rolling deployments. We have to restart the application server whenever we make any changes. This makes deployments much slower, which in turn makes downtime more risky with each release.
High infrastructure cost
Oracle WebLogic or IBM WebSphere licenses have high costs associated with each core. Moving to an open-source solution such as Spring Boot with embedded Tomcat or Jetty means there is no cost at all. Additional cost savings can be achieved by using containerized cloud infrastructure with a pay-per-use pricing model.
Slow build and release cycles
Using Ant and Maven to build Enterprise Java applications with legacy CI infrastructure is slow and unreliable. New toolchains and their associated incremental build and test capabilities, and parallel stages in pipelines, speed up the build and test cycles significantly.
Inability to scale independently
Scaling Java EE applications is done in a monolithic fashion. If one module is under heavy load, the entire application is brought up to that level of scale. The microservices approach allows each service to be scaled independently based on their own load.
Talent pipeline
Finding people with experience in Java EE, EJB, and legacy application servers is becoming harder and harder. New skills in Spring Boot and cloud native Java are ubiquitous in the available talent pool today.

Customer's Reviews

Anonym
Founder
Thanks to Chudovo's work, the client saw increased user engagement and completion rates. Chudovo's project management was excellent. The team set clear milestones, held regular demos, and was highly responsive.

Featured Projects

FAQ

Which Java EE versions does your team have experience migrating? Answer
We have worked with Java EE 5, 6, 7, and 8+, as well as Jakarta EE 8 and 9. The specific version determines which APIs and deployment descriptors are in scope and how closely they map to Spring Boot equivalents.
Can you migrate from WebLogic or WebSphere without rewriting the full application? Answer
In most cases, yes. The bulk of the work involves resolving proprietary API usage and vendor-specific configuration rather than rewriting business logic. The proportion of code that requires rewriting depends on how heavily the application uses vendor-specific extensions - something the assessment phase identifies precisely.
How do you handle applications with EJBs? Answer
Session beans, both stateless and stateful, are replaced with Spring-managed beans, which have the same transactional behavior. Message-driven beans are replaced with Spring JMS or AMQP listeners, or event-driven listeners using Kafka or RabbitMQ, depending on the use case. Entity beans, if they still exist from the EJB 2.x days, are replaced with JPA using Hibernate.
Do you include migrating the database in the Java migration? Answer
If the application is tightly coupled with Oracle DB or IBM DB2 using JNDI data sources, we include the data source configuration change, ORM mapping changes, and, in some cases, schema and data migration to the target database.
How long would the Java EE to Spring Boot migration project take? Answer
  • Small applications with minimal EJB usage can be completed in 6-12 weeks and may range in price from $15,000 to $50,000.
  • Medium-sized enterprise applications with numerous modules and significant EJB or SOAP usage can be completed in 3-6 months and range in price from $50,000 to $150,000.
  • Large-scale Java EE applications with complex transactional requirements and large data volumes can take 6-18 months, with prices starting from $150,000 and based on Eastern European engineering rates.
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