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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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.

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eBook – Mockito – NPI EA (tag = Mockito)
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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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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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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.

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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

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Partner – LambdaTest – NPI EA (cat=Testing)
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Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

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1. Overview

Java stores numbers in memory as binary. Understanding how integers are represented at the bit level can help us with certain operations.

In this tutorial, we’ll look at some of the specifics of number representation in Java, and see how Java’s bitwise operations work.

2. Bitwise Operations in Java

In Java, integers are represented using 32 bits, and long integers use 64 bits. It’s important to note that Java uses 2’s complement representation for negative numbers. In this case, where the first bit is 1, the number is assumed to be negative. Negative numbers are calculated by taking the number, flipping all 1’s and 0’s, and then adding 1.

For example, in eight bits, the number 6 is 0b00000110. To convert this to -6, we invert it to 0b11111001 and then, add one, so it becomes 0b11111010.

Furthermore, bitwise operations lay a great foundation for several use cases as they are often quicker for the CPU than full mathematical or logical expressions.

2.1. AND Operator (&)

The AND operator (&) performs a bitwise AND operation between two 32-bit integers:

int result = 0b1100 & 0b0111;
assertEquals(0b0100, result);

This operation evaluates each bit’s position independently. If both corresponding bits in the operands are 1, the result will have a 1 at that position; otherwise, it will be 0. In the provided example:

  • Binary representation of 12 (0b1100)
  • Binary representation of 7 (0b0111)
  • Bitwise AND operation yields 0b0100
  • Resulting in the decimal value 4

2.2. OR Operator (|)

The OR operator (|) does a bitwise OR operation on the same-position bits of two numbers:

int result = 0b1100 | 0b0111;
assertEquals(0b1111, result);

Similar to the AND operator, the OR operator compares each bit position. If at least one of the corresponding bits in the operands is 1, the result will have a 1 at that position. In this example, the result is 0b1111, equivalent to the decimal value 15.

2.3. XOR Operator (^)

We can use the XOR operator (^) in a bitwise XOR operation in which the corresponding bits are operated on each other:

int result = 0b1100 ^ 0b0111;
assertEquals(0b1011, result);

This operation sets the result bit to 1 if the corresponding bits in the operands differ. In the provided example, the result is 0b1011, corresponding to the decimal value 11.

2.4. Bitwise NOT (~)

The bitwise NOT operator (~) inverts the bits of its operand, turning 1s into 0s and vice versa:

int result = ~0b0101;
assertEquals(-0b0110, result);

Each bit is inverted, transforming 0s into 1s and vice versa. Moreover, the result is -0b0110, equivalent to the decimal value -6 using two’s complement representation.

2.5. Left Shift (<<) and Right Shift (>>)

The left shift (<<) operator shifts the bits of a number to the left by a specified number of positions:

int result = 0b0101 << 2;
assertEquals(0b10100, result);

Here, we perform a bitwise left shift operation on the value stored in variable a. Furthermore, this operation shifts the binary representation of two positions to the left, padding the vacated positions on the right with zeros.

Similarly, the right shift (>>) operator shifts the bits to the right:

int result = 0b0101 >> 1;
assertEquals(0b10, result);

Conversely, we perform a bitwise right shift operation by shifting the binary representation of the variable a one position to the right. The vacated position on the left is filled based on the sign bit for signed integers. So positive numbers stay positive and negative numbers stay negative.

3. Use Case: Color Modification Using Bitwise Operations

In this practical example, we’ll explore how we can apply bitwise operations to modify the color of an RGB value.

3.1. Original Colors and Masks

int originalColor = 0xFF336699;
int alphaMask = 0xFF000000;
int redMask = 0x00FF0000;
int greenMask = 0x0000FF00;
int blueMask = 0x000000FF;

Here, we initialize the original color as 0xFF336699, a hexadecimal representation of an RGB color. Additionally, four masks (alphaMask, redMask, greenMask, and blueMask) are defined to extract individual color components based on their bit positions.

3.2. Extracting Color Components

int alpha = (originalColor & alphaMask) >>> 24;
int red = (originalColor & redMask) >>> 16;
int green = (originalColor & greenMask) >>> 8;
int blue = originalColor & blueMask;

We extract the alpha, red, green, and blue components using bitwise AND operations with their respective masks. Then, we apply the right shift (>>>) to align the extracted bits to the least significant bit (LSB) position.

  • The alpha component, extracted by (originalColor & alphaMask) >>> 24, results in 1111 1111 in binary
  • The red component, extracted by (originalColor & redMask) >>> 16, is 0011 0011 in binary
  • The green component, extracted by (originalColor & greenMask) >>> 8, is 0110 1001 in binary
  • The blue component, extracted by originalColor & blueMask, is 1001 1001 in binary

3.3. Modifying Color Components

red = Math.min(255, red + 50);
green = Math.min(255, green + 30);

Next, we modified the red and green components, simulating a color adjustment. Moreover, we perform the modification while ensuring that the values don’t exceed the maximum of 255.

  • The red component is modified using red = Math.min(255, red + 50), resulting in 0100 0010 in binary
  • The green component is modified using green = Math.min(255, green + 30), resulting in 0111 1111 in binary

3.4. Recreating Modified Color

int modifiedColor = (alpha << 24) | (red << 16) | (green << 8) | blue;

Furthermore, we combine the modified alpha, red, green, and blue components using bitwise OR (|) and left shift (<<) operations to recreate the modified color.

The reconstructed color is calculated as modifiedColor = (alpha << 24) | (red << 16) | (green << 8) | blue, resulting in 1111 1111 0010 0010 1101 0110 1001 in binary.

4. Conclusion

In this article we looked at how Java represents numbers in memory. We looked at the binary representation and how to use it to understand bitwise operations.

Finally, we looked at a way that masks and bit shifting can be useful in a real-world example.

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.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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:

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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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

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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