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:

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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:

>> 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

eBook – Reactive – NPI(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

1. Introduction

Previously, we have shown how to build a high-performance and reactive application with Ratpack.

In this article, we’ll look at how to integrate Netflix Hystrix with a Ratpack application.

Netflix Hystrix helps control interactions between distributed services by isolating points of access to stop cascading failures and providing fallback options for fault tolerance. It can help us build a more resilient application. See our introduction to Hystrix for a quick review.

And so, that’s how we’ll use it – we’re going to enhance our Ratpack application with these useful features out by Hystrix.

NOTE: the ratpack-hystrix module has been removed: https://github.com/ratpack/ratpack/blob/master/release-notes.md?plain=1 so the code in this article is no longer maintained.

2. Maven Dependency

To use Hystrix with Ratpack, we need the ratpack-hystrix dependency in the project pom.xml:

<dependency>
    <groupId>io.ratpack</groupId>
    <artifactId>ratpack-hystrix</artifactId>
    <version>1.4.6</version>
</dependency>

The latest version of ratpack-hystrix can be found here. The ratpack-hystrix includes ratpack-core and hystrix-core.

To make use of reactive features of Ratpack, we would also need ratpack-rx:

<dependency>
    <groupId>io.ratpack</groupId>
    <artifactId>ratpack-rx</artifactId>
    <version>1.4.6</version>
</dependency>

The latest version of ratpack-rx can be found here.

3. Serving With Hystrix Command

When using Hystrix, underlying services are typically wrapped in HystrixCommand or HystrixObservableCommand. Hystrix supports executing these Commands in ways of synchronous, asynchronous and reactive. Among these, only reactive is nonblocking and officially recommended.

In the following examples, we’ll build some endpoints that fetch a profile from Github REST API.

3.1. Reactive Command Execution

First, let’s build a reactive backend service with Hystrix:

public class HystrixReactiveHttpCommand extends HystrixObservableCommand<String> {

    //...

    @Override
    protected Observable<String> construct() {
        return RxRatpack.observe(httpClient
          .get(uri, r -> r.headers(h -> h.add("User-Agent", "Baeldung HttpClient")))
          .map(res -> res.getBody().getText()));
    }

    @Override
    protected Observable<String> resumeWithFallback() {
        return Observable.just("eugenp's reactive fallback profile");
    }
}

Here a Ratpack reactive HttpClient is used to make a GET request. The HystrixReactiveHttpCommand can perform as a reactive handler:

chain.get("rx", ctx -> 
  new HystrixReactiveHttpCommand(
    ctx.get(HttpClient.class), eugenGithubProfileUri, timeout)
    .toObservable()
    .subscribe(ctx::render));

The endpoint can be verified with the following test:

@Test
public void whenFetchReactive_thenGotEugenProfile() {
    assertThat(appUnderTest.getHttpClient().getText("rx"), 
      containsString("www.baeldung.com"));
}

3.2. Asynchronous Command Execution

An asynchronous execution of HystrixCommand queues up the command on the thread pool and returns a Future:

chain.get("async", ctx -> ctx.render(
  new HystrixAsyncHttpCommand(eugenGithubProfileUri, timeout)
    .queue()
    .get()));

The HystrixAsyncHttpCommand looks like:

public class HystrixAsyncHttpCommand extends HystrixCommand<String> {

    //...

    @Override
    protected String run() throws Exception {
        return EntityUtils.toString(HttpClientBuilder.create()
          .setDefaultRequestConfig(requestConfig)
          .setDefaultHeaders(Collections.singleton(
            new BasicHeader("User-Agent", "Baeldung Blocking HttpClient")))
          .build().execute(new HttpGet(uri)).getEntity());
    }

    @Override
    protected String getFallback() {
        return "eugenp's async fallback profile";
    }

}

Here we use a blocking HttpClient instead of a nonblocking one because we want Hystrix to control the execution timeout of the actual command so that we won’t need to handle it on our own when getting a response from the Future. This also allows Hystrix to fallback or cache our request.

The async execution also yields expected outcome:

@Test
public void whenFetchAsync_thenGotEugenProfile() {
    assertThat(appUnderTest.getHttpClient().getText("async"),
      containsString("www.baeldung.com"));
}

3.3. Synchronous Command Execution

A synchronous execution executes the command directly in the current thread:

chain.get("sync", ctx -> ctx.render(
  new HystrixSyncHttpCommand(eugenGithubProfileUri, timeout).execute()));

The implementation of HystrixSyncHttpCommand is almost identical to HystrixAsyncHttpCommand except that we give it a different fall back result. When not falling back, it behaves the just the same as reactive and asynchronous execution:

@Test
public void whenFetchSync_thenGotEugenProfile() {
    assertThat(appUnderTest.getHttpClient().getText("sync"),
      containsString("www.baeldung.com"));
}

4. Metrics

By registering the Guice moduleHystrixModule into Ratpack registry, we can stream the request scoped metrics and expose the event streams via a GET endpoint:

serverSpec.registry(
  Guice.registry(spec -> spec.module(new HystrixModule().sse())))
  .handlers(c -> c.get("hystrix", new HystrixMetricsEventStreamHandler()));

The HystrixMetricsEventStreamHandler helps stream Hystrix metrics in text/event-stream format, such that we can monitor the metrics in Hystrix Dashboard.

We can set up a standalone Hystrix dashboard, and add our Hystrix event-stream to the monitor list to see how our Ratpack application performs:

Snip20170815 1

After several requests to our Ratpack application, we can see the Hystrix related commands in the dashboard.

4.1. Under the Hood

In HystrixModule, a Hystrix Concurrency Strategy is registered with Hystrix via HystrixPlugin to manage the request context with Ratpack registry. This removes the necessity for initializing Hystrix request context before each request begins.

public class HystrixModule extends ConfigurableModule<HystrixModule.Config> {

    //...
  
    @Override
    protected void configure() {
      try {
        HystrixPlugins.getInstance().registerConcurrencyStrategy(
          new HystrixRegistryBackedConcurrencyStrategy());
      } catch (IllegalStateException e) {
        //...
      }
    }

    //...

}

5. Conclusion

In this quick article, we’ve shown how Hystrix can be integrated into Ratpack and how to push metrics of our Ratpack application to Hystrix Dashboard for a better view of the application performance.

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:

>> 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)
announcement - icon

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)
announcement - icon

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)