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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

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Course – LJB – NPI EA (cat = Core Java)
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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Overview

Microservices have become popular in recent years. One of the essential characteristics of microservices is that they are modular, isolated, and easy to scale. The microservices need to work together and exchange data. To achieve this, we create shared data transfer objects called DTOs.

In this article, we will present ways in which DTOs are shared between microservices.

2. Exposing Domain Objects as DTO

Models that represent the application domain are managed using microservices. Domain models are different concerns, and we separate them from data models in the DAO layer.

The main reason for this is that we don’t want to expose the complexity of our domain through the services to the clients. Instead, we expose DTOs between our services that serve application clients through REST APIs. While DTOs pass between these services, we convert them to domain objects.

application architecture with dtos and service facade original

The service-oriented architecture above schematically shows the components and flow of DTO to Domain objects.

3. DTO Sharing Between Microservices

Take, as an example, the process of a customer ordering a product. This process is based on the Customer-Order model. Let’s look at the process from the side of the service architecture.

Let’s say that the Customer service sends request data to the Order service as:

"order": {
    "customerId": 1,
    "itemId": "A152"
}

The Customer and Order services communicate with each other using contracts. The contract, which is otherwise a service request, is displayed in JSON format. As a Java model, the OrderDTO class represents a contract between the Customer service and the Order service:

public class OrderDTO {
    private int customerId;
    private String itemId;

    // constructor, getters, setters
}

We could share contracts between services also using the Protocol Buffer language instead of JSON. In this case, we need to share a “protobuf” file that will be used for the generation of the Client Stubs.

3.1. Sharing DTO Using Client Modules (Libraries)

A microservice requires certain information from other services to process any request. Let’s say there is a third microservice that receives order payment requests. Unlike the Order service, this service requires different customer information:

public class CustomerDTO {
    private String firstName;
    private String lastName;
    private String cardNumber;

    // constructor, getters, setters
}

If we also add a delivery service, customer information would have:

public class CustomerDTO {
    private String firstName;
    private String lastName;
    private String homeAddress;
    private String contactNumber;

    // constructor, getters, setters
}

So, placing the CustomerDTO class in a shared module no longer serves the intended purpose. To solve this, we approach a different method.

Within each microservice module, let’s create a client module (library) and next to it a server module:

order-service
|__ order-client
|__ order-server

The order-client module contains a DTO shared with Customer service. Therefore, the order-client module has the following structure:

order-service
└──order-client
     OrderClient.java
     OrderClientImpl.java
     OrderDTO.java

The OrderClient is an interface that defines an order method for processing order requests:

public interface OrderClient {
    OrderResponse order(OrderDTO orderDTO);
}

To implement the order method, we use the RestTemplate object to send a POST request to the Order service:

String serviceUrl = "http://localhost:8002/order-service";
OrderResponse orderResponse = restTemplate.postForObject(serviceUrl + "/create", 
  request, OrderResponse.class);

Besides, the order-client module is ready for use. It now becomes a dependent library of the customer-service module:

[INFO] --- maven-dependency-plugin:3.1.2:list (default-cli) @ customer-service ---
[INFO] The following files have been resolved:
[INFO]    com.baeldung.orderservice:order-client:jar:1.0-SNAPSHOT:compile

Of course, this has no purpose without the order-server module to expose the “/create” service endpoint to the order client:

@PostMapping("/create")
public OrderResponse createOrder(@RequestBody OrderDTO request)

Thanks to this service endpoint, the Customer service can send an order request through its order client. By using the client module, microservices communicate with each other in a more isolated way. Attributes in the DTO are updated within the client module. Therefore, contract breaking is limited to services that use the same client module.

4. Conclusion

In this article, we explained a way to share DTO objects between microservices. At best, we achieve this by making special contracts as parts of microservice client modules (libraries). In this way, we separate the service client from the server part that contains the API resource. As a result, there are some benefits:

  • There is no redundancy in the DTO code between services
  • Contract breaking is limited to services that use the same client library
The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook Jackson – NPI EA – 3 (cat = Jackson)