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, 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.

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

>> Join Pro and download the eBook

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:

>> Download the eBook

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:

>> Join Pro and 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 – 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:

>> LEARN SPRING
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

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:

>> CHECK OUT THE COURSE

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

Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

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:

Automated Accessibility Testing With Selenium

1. Overview

Heap size is an essential parameter of Java applications. It directly affects how much memory we can use and indirectly impacts the applications’ performance. For example, the usage of compressed pointers, the number and duration of garbage collection cycles, etc.

In this tutorial, we’ll learn how to use the –XX:MaxRAM flag to provide more tuning opportunities for the heap size calculation. This is especially important while running an application inside a container or on different hosts.

2. Heap Size Calculations

Flags for configuring a heap can work together and, also, can override each other. Understanding their relationships is important to get more insights into their purpose.

2.1. Using -Xmx

The primary ways to control the heap size are -Xmx and -Xms flags, which control the maximum and initial size, respectively. It’s a powerful tool but doesn’t consider available space on a machine or container. Let’s say we’re running an application on various hosts where the available RAM spans from 4 GB to 64 GB.

Without -Xmx, JVM automatically allocates around 25% of available RAM for the application heap. However, in general, the initial heap size allocated by JVM depends on various parameters: system architecture, version of JVM, platform, etc.

This behavior might be undesirable in some cases. Depending on the available RAM, it might allocate dramatically different heaps. Let’s check how much JVM allocates by default on the machine with 24 GB of RAM:

$ java -XX:+PrintFlagsFinal -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize' 
   size_t InitialHeapSize   = 402653184    {product} {ergonomic}
   size_t MaxHeapSize       = 6442450944   {product} {ergonomic}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

JVM allocated roughly 6 GB or 25%, which might be too much for our application. Setting the max heap to a specific value might also create issues. If we’re using -Xmx4g, it might fail for hosts with less than available memory, and also, we won’t get additional memory we can have:

$ java -XX:+PrintFlagsFinal -Xmx4g -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize'
   size_t InitialHeapSize   = 402653184    {product} {ergonomic}
   size_t MaxHeapSize       = 4294967296   {product} {command line}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

In some cases, this problem can be solved by calculating -Xmx on the fly with scripts. However, it bypasses the JVM heuristic that might be more precise about the application needs.

2.2. Using -XX:MaxRAM

The flag -XX:MaxRAM aims to resolve the problem described above. First, it prevents JVM from over-allocating memory on the systems with lots of RAM. We can think about this flag as “run the app, but pretend that you have at most X amount of RAM.”

Additionally, -XX:MaxRAM allows JVM to use a standard heuristic for the heap size. Let’s review the previous example, but using -XX:MaxRAM:

$ java -XX:+PrintFlagsFinal -XX:MaxRAM=6g -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize'
   size_t InitialHeapSize   = 100663296    {product} {ergonomic}
   size_t MaxHeapSize       = 1610612736   {product} {ergonomic}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

JVM calculates the maximum heap size in this case but assumes we have only 6 GB of RAM. Note that we should not use -Xmx with -XX:MaxRAM. Because -Xmx is more specific, it would override -XX:MaxRAM:

$ java -XX:+PrintFlagsFinal -XX:MaxRAM=6g -Xmx6g -version |\ 
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize'
   size_t InitialHeapSize   = 100663296    {product} {ergonomic}
   size_t MaxHeapSize       = 6442450944   {product} {command line}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

This flag can improve resource utilization and heap allocation. However, we still don’t have control over how much of the RAM should be allocated to the heap.

2.3. Using -XX:MaxRAMPercentage and -XX:MinRAMPercentage

Now we’re in control and can tell JVM how much RAM it should consider. Let’s define our strategies for allocating the heap. The -XX:MaxRAM flag works well with -XX:MaxRAMPercentage and -XX:MinRAMPercentage. They provide even more flexibility, especially in containerized environments. Let’s try to use it with -XX:MaxRAM and set the heap as 50% of available RAM:

$ java -XX:+PrintFlagsFinal -XX:MaxRAM=6g -XX:MaxRAMPercentage=50 -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize'
   size_t InitialHeapSize   = 100663296    {product} {ergonomic}
   size_t MaxHeapSize       = 3221225472   {product} {ergonomic}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

There’s a common confusion about the -XX:MinRAMPercentage. It doesn’t behave as -Xms. Although, it would be reasonable to assume that it sets the minimum heap size. Let’s check the following setup:

$ java -XX:+PrintFlagsFinal -XX:MaxRAM=16g -XX:MaxRAMPercentage=10 -XX:MinRAMPercentage=50 -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize'
   size_t InitialHeapSize   = 268435456    {product} {ergonomic}
   size_t MaxHeapSize       = 1719664640   {product} {ergonomic}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

We set both -XX:MaxRAMPercentage and -XX:MinRAMPercentage, but it’s clear that only -XX:MaxRAMPercentage is working. We allocated 10% of 16 GB RAM to the heap. However, if we reduce the available RAM to 200 MB, we’ll get a different behavior:

$ java -XX:+PrintFlagsFinal -XX:MaxRAM=200m -XX:MaxRAMPercentage=10 -XX:MinRAMPercentage=50 -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize' 
   size_t InitialHeapSize   = 8388608      {product} {ergonomic}
   size_t MaxHeapSize       = 109051904    {product} {ergonomic}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

In this case, the heap size is controlled by -XX:MinRAMPercentage. This flag kicks in when the available RAM drops to less than 200 MB. Now, we can bump the heap to 75%:

$ java -XX:+PrintFlagsFinal -XX:MaxRAM=200m -XX:MaxRAMPercentage=10 -XX:MinRAMPercentage=75 -version |\
grep -e '\bMaxHeapSize\|\bMinHeapSize\|\bInitialHeapSize'
   size_t InitialHeapSize   = 8388608      {product} {ergonomic}
   size_t MaxHeapSize       = 134217728    {product} {ergonomic}
   size_t MinHeapSize       = 8388608      {product} {ergonomic}

If we proceeded to apply -XX:MaxRAMPercentage for such tiny heaps, we would get 20 MB of heap, which might not be enough for our purposes. That’s why we have different flags for small and large heaps. The -XX:MaxRAM flag works nicely with both of them and gives us more control.

3. Conclusion

Controlling heap size is crucial for Java applications. Allocating more memory isn’t necessarily good; at the same time, allocating not enough memory is bad.

Using -Xmx, -XX:MaxRAM, -XX:MaxRAMPercentage, and -XX:MinRAMPercentage can help us tune our application better and improve performance.

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:

>> Explore a clean Baeldung

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:

>> Download the eBook

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?

Explore the eBook

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:

>> CHECK OUT THE COURSE

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