eBook – Guide Spring Cloud – NPI EA (cat=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.

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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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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:

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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.

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

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of 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:

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eBook – Java Concurrency – NPI (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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1. Overview

In Java, it’s not uncommon to need synchronized access to static variables. In this short tutorial, we’ll look at several ways to synchronize access to static variables among different threads.

2. About Static Variables

As a quick refresher, static variables belong to the class rather than an instance of the class. This means all instances of a class have the same state for the variable.

For example, let’s consider an Employee class with a static variable:

public class Employee {
    static int count;
    int id;
    String name;
    String title;
}

In this case, the count variable is static and represents the number of total employees that have ever worked at the company. No matter how many Employee instances we create, all of them will share the same value for count.

We can then add code to the constructor to ensure we track the count with each new employee:

public Employee(int id, String name, String title) {
    count = count + 1;
    // ...
}

While this approach is straightforward, it potentially has problems when we want to read the count variable. This is especially true in a multi-threaded environment with multiple instances of the Employee class.

Below, we’ll see different ways to synchronize access to the count variable.

3. Synchronizing Static Variables With the synchronized Keyword

The first way we can synchronize our static variable is by using Java’s synchronized keyword. There are several ways we can utilize this keyword for accessing our static variable.

First, we can create a static method that uses the synchronized keyword as a modifier in its declaration:

public Employee(int id, String name, String title) {
    incrementCount();
    // ...
}

private static synchronized void incrementCount() {
    count = count + 1;
}

public static synchronized int getCount() {
    return count;
}

In this case, the synchronized keyword locks on the class object because the variable is static. This means no matter how many instances of Employee we create, only one can access the variable at once, as long as they use the two static methods.

Secondly, we can use a synchronized block to explicitly synchronize on the class object:

private static void incrementCount() {
    synchronized(Employee.class) {
        count = count + 1;
    }
}

public static int getCount() {
    synchronized(Employee.class) {
        return count;
    }
}

Note that this is functionally equivalent to the first example, but the code is a little more explicit.

Finally, we can also use a synchronized block with a specific object instance instead of the class:

private static final Object lock = new Object();

public Employee(int id, String name, String title) {
    incrementCount();
    // ...
}

private static void incrementCount() {
    synchronized(lock) {
        count = count + 1;
    }
}

public static int getCount() {
    synchronized(lock) {
        return count;
    }
}

The reason this is sometimes preferred is because the lock is private to our class. In the first example, it’s possible for other code outside of our control to also lock on our class. With a private lock, we have full control over how it’s used.

The Java synchronized keyword is only one way to synchronize access to a static variable. Below, we’ll look at some Java APIs that can also provide synchronization to static variables.

4. Java APIs To Synchronize Static Variables

The Java programming language offers several APIs that can help with synchronization. Let’s look at two of them.

4.1. Atomic Wrappers

Introduced in Java 1.5, the AtomicInteger class is an alternative way to synchronize access to our static variable. This class provides atomic read and write operations, ensuring a consistent view of the underlying value across all threads.

For example, we could rewrite our Employee class using the AtomicInteger type instead of int:

public class Employee {
    private final static AtomicInteger count = new AtomicInteger(0);

    public Employee(int id, String name, String title) {
        count.incrementAndGet();
    }

    public static int getCount() {
        count.get();
    }
}

In addition to AtomicInteger, Java provides atomic wrappers for long and boolean, as well as reference types. All of these wrapper classes are great tools for synchronizing access to static data.

4.2. Reentrant Locks

Also introduced in Java 1.5, the ReentrantLock class is another mechanism we can use to synchronize access to static data. It provides the same basic behavior and semantics as the synchronized keyword we used earlier but with additional capabilities.

Let’s see an example of how our Employee class can use the ReentrantLock instead of int:

public class Employee {
    private static int count = 0;
    private static final ReentrantLock lock = new ReentrantLock();

    public Employee(int id, String name, String title) {
        lock.lock();
        try {
            count = count + 1;
        }
        finally {
            lock.unlock();
        }

        // set fields
    }

    public static int getCount() {
        lock.lock();
        try {
            return count;
        }
        finally {
            lock.unlock();
        }
    }
}

There are a couple of things to note about this approach. First, it’s much more verbose than the others. Each time we access the shared variable, we have to ensure we lock right before the access and unlock right after. This can lead to programmer errors if we forget to do this sequence in every place we access the shared static variable.

Additionally, the documentation for the class suggests using a try/finally block to properly lock and unlock. This adds additional lines of code and verbosity, as well as more potential for programmer error if we forget to do this in all cases.

That said, the ReentrantLock class offers additional behavior beyond the synchronized keyword. Among other things, it allows us to set a fairness flag and query the state of the lock to get a detailed view of how many threads are waiting on it.

5. Conclusion

In this article, we looked at several different ways to synchronize access to a static variable across different instances and threads. We first looked at the Java synchronized keyword and saw examples of how we use it as both a method modifier and a static code block.

We then looked at two features of the Java concurrent API: AtomicInteger and ReeantrantLock. Both of these APIs offer ways to synchronize access to shared data with some additional benefits beyond the synchronized keyword.

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:

>> 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 – Java Concurrency – NPI (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 Jackson – NPI EA – 3 (cat = Jackson)