Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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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.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – 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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Get Started with Apache Maven:

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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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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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Get started with Spring and Spring Boot, through the Learn Spring course:

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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:

>> The New “REST With Spring Boot”

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:

>> Learn Spring Security

Partner – LambdaTest – NPI EA (cat=Testing)
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Browser testing is essential if you have a website or web applications that users interact with. Manual testing can be very helpful to an extent, but given the multiple browsers available, not to mention versions and operating system, testing everything manually becomes time-consuming and repetitive.

To help automate this process, Selenium is a popular choice for developers, as an open-source tool with a large and active community. What's more, we can further scale our automation testing by running on theLambdaTest cloud-based testing platform.

Read more through our step-by-step tutorial on how to set up Selenium tests with Java and run them on LambdaTest:

>> Automated Browser Testing With Selenium

Partner – Orkes – NPI EA (cat=Java)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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.

Get started with Spring Data JPA through the guided reference course:

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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.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

1. Introduction

Apache Kafka is an open-source distributed event store and fault-tolerant stream processing system. Kafka is basically an event streaming platform where clients can publish and subscribe to a stream of events. Generally, producer applications publish events to Kafka while consumers subscribe to these events, thus implementing a publisher-subscriber model.

In this tutorial, we’ll learn how we can add custom headers in a Kafka message using a Kafka producer.

2. Setup

Kafka provides an easy-to-use Java library that we can use for creating Kafka producer clients (Producers) and consumer clients (Consumers).

2.1. Dependencies

To begin with, let’s add the Kafka Clients Java library’s Maven dependency to our project’s pom.xml file:

<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>3.4.0</version>
</dependency>

2.2. Connection Initialization

The guide assumes we have a Kafka cluster running on our local system. Additionally, we need to create a topic and establish a connection with the Kafka cluster.

Firstly, let’s begin by creating a Kafka topic in our cluster. We can create a topic “baeldung” by referring to our Kafka Topic Creation guide.

Secondly, let’s create a new Properties instance with the bare minimum configuration required for connecting the producer to our local broker:

Properties producerProperties = new Properties();
producerProperties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
producerProperties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
producerProperties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());

Lastly, let’s create an instance of KafkaProducer that we’ll use to publish messages:

KafkaProducer <String, String> producer = new KafkaProducer<>(producerProperties);

The KafkaProducer class’s constructor accepts a Properties object (or a Map) with the bootstrap.servers property and returns an instance of KafkaProducer.

In a similar fashion, let’s create an instance of KafkaConsumer that we’ll use to consume messages:

Properties consumerProperties = new Properties();
consumerProperties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, KAFKA_CONTAINER.getBootstrapServers());
consumerProperties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
consumerProperties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
consumerProperties.put(ConsumerConfig.GROUP_ID_CONFIG, "ConsumerGroup1");

KafkaConsumer<String, String> consumer = new KafkaConsumer<>(consumerProperties);

We’ll use these producer and consumer instances to demonstrate all our coding examples.

Now that we have all the necessary dependencies and connections configured, we can write a simple application to add custom headers in a Kafka message.

3. Publishing Messages With Custom Headers

Support for custom headers in Kafka messages was added in Kafka version 0.11.0.0. To create a Kafka message (Record), we create an instance of ProducerRecord<K,V>. The ProducerRecord basically identifies the message value and topic to which the message is to be published, along with other metadata.

ProducerRecord class provides various constructors to add custom headers to a Kafka message. Let’s take a look at a couple of constructors that we can use:

  • ProducerRecord(String topic, Integer partition, K key, V value, Iterable<Header> headers)
  • ProducerRecord(String topic, Integer partition, Long timestamp, K key, V value, Iterable<Header> headers)

Both the ProducerRecord class constructors accept custom headers in the form of an Iterable<Header> type.

To understand, let’s create a ProducerRecord that publishes a message to the “baeldung” topic along with some custom headers:

List <Header> headers = new ArrayList<>();
headers.add(new RecordHeader("website", "baeldung.com".getBytes()));
ProducerRecord <String, String> record = new ProducerRecord <>("baeldung", null, "message", "Hello World", headers);

producer.send(record);

Here, we’re creating a List of Header types to pass as headers to the constructor. Each header represents an instance of RecordHeader(String key, byte[] value) that accepts a header key as a String and the header value as a byte array.

In a similar fashion, we can use the second constructor that additionally accepts a timestamp of the record being published:

List <Header> headers = new ArrayList<>();
headers.add(new RecordHeader("website", "baeldung.com".getBytes()));
ProducerRecord <String, String> record = new ProducerRecord <>("baeldung", null, System.currentTimeMillis(), "message", "Hello World", headers);

producer.send(record);

So far, we’ve created a message with custom headers and published it to Kafka.

Next, let’s implement the consumer code to consume a message and verify its custom headers.

4. Consuming Messages With Custom Headers

Firstly, we subscribe our consumer instance to the Kafka topic “baeldung” to consume messages from:

consumer.subscribe(Arrays.asList("baeldung"));

Secondly, we use the polling mechanism to poll for new messages from Kafka:

ConsumerRecords<String, String> records = consumer.poll(Duration.ofMinutes(1));

The KafkaConsumer.poll(Duration duration) methods polls for new messages in the Kafka topic until the time specified by the Duration parameter. The method returns an instance of ConsumerRecords containing the fetched messages. ConsumerRecords is basically an Iterable instance of the ConsumerRecord type.

Lastly, we loop through the fetched records and get the custom headers along with each message:

for (ConsumerRecord<String, String> record : records) {
    System.out.println(record.key());
    System.out.println(record.value());

    Headers consumedHeaders = record.headers();
    for (Header header : consumedHeaders) {
        System.out.println(header.key());
        System.out.println(new String(header.value()));
    }
}

Here, we’re using the various getter methods from the ConsumerRecord class to fetch message keys, values, and custom headers. ConsumerRecord.headers() method returns an instance of Headers containing the custom headers. Headers is basically an Iterable instance of the Header type. We then loop through each Header instance and fetch the header key and value using the Header.key() and Header.value() methods, respectively.

5. Conclusion

In this article, we’ve learned how to add custom headers to a Kafka message. We looked at the different constructors available that accept custom headers with their corresponding implementations.

We then saw how we could consume a message with custom headers and verify them.

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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Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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:

>> Download the eBook

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:

>> Join Pro and download the eBook

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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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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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)