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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.

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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.

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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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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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1. Introduction

This article is about Structurizr, a tool that provides a programmatic approach to architectural definitions and visualizations based on the C4 Model.

Structurizr breaks with traditional drag-and-drop approaches of architectural diagram editors such as UML and allows us to describe our architectural artifacts using the tool we know best: Java.

2. Getting Started

To get started, let’s add the structurizr-core dependency to our pom.xml:

<dependency>
    <groupId>com.structurizr</groupId>
    <artifactId>structurizr-core</artifactId>
    <version>1.0.0</version>
</dependency>

3. Systems

Let’s start modeling a sample architecture. Suppose we’re building a fraud-detection capable payment terminal used by merchants for clearing payments.

First, we need to create a Workspace and a Model:

Workspace workspace = new Workspace("Payment Gateway", "Payment Gateway");
Model model = workspace.getModel();

We also define a user and two software systems within that model:

Person user = model.addPerson("Merchant", "Merchant");
SoftwareSystem paymentTerminal = model.addSoftwareSystem(
  "Payment Terminal", "Payment Terminal");
user.uses(paymentTerminal, "Makes payment");
SoftwareSystem fraudDetector = model.addSoftwareSystem(
  "Fraud Detector", "Fraud Detector");
paymentTerminal.uses(fraudDetector, "Obtains fraud score");

Now that our system is defined, we can create a view:

ViewSet viewSet = workspace.getViews();

SystemContextView contextView = viewSet.createSystemContextView(
  paymentTerminal, "context", "Payment Gateway Diagram");
contextView.addAllSoftwareSystems();
contextView.addAllPeople();

Here we created a view that includes all software systems and persons. Now the view needs to be rendered.

4. View via PlantUML

In the previous section, we created a view of a simple payment gateway.

Next step is to create a human-friendly diagram. Probably the simplest solution for an organization already using PlantUML would be to instruct Structurizr to do a PlantUML export:

StringWriter stringWriter = new StringWriter();
PlantUMLWriter plantUMLWriter = new PlantUMLWriter();
plantUMLWriter.write(workspace, stringWriter);
System.out.println(stringWriter.toString());

Here the resulting markup is printed to screen, but it may just as easily be sent to a file. Rendering the data this way produces the diagram below:

try

5. View via the Structurizr Website

Another option for rendering diagrams exists. An architectural view can be sent to the Structurizr website via a client API. The diagram will be then generated using their rich UI.

Let’s can create an API client:

StructurizrClient client = new StructurizrClient("key", "secret");

The key and secret parameters are obtained from the workspace dashboard on their website. The workspace can be then be referred to by:

client.putWorkspace(1337, workspace);

Obviously, we need to register on the website and create a workspace. A basic account with a single workspace is free. At the same time, commercial plans are available as well.

6. Containers

Let’s extend our software system by adding some containers. In a C4 model, containers can be web applications, mobile apps, desktop applications, databases and file systems: pretty much anything that holds code and/or data.

First, we create some containers for our payment terminal:

Container f5 = paymentTerminal.addContainer(
  "Payment Load Balancer", "Payment Load Balancer", "F5");
Container jvm1 = paymentTerminal.addContainer(
  "JVM-1", "JVM-1", "Java Virtual Machine");
Container jvm2 = paymentTerminal.addContainer(
  "JVM-2", "JVM-2", "Java Virtual Machine");
Container jvm3 = paymentTerminal.addContainer(
  "JVM-3", "JVM-3", "Java Virtual Machine");
Container oracle = paymentTerminal.addContainer(
  "oracleDB", "Oracle Database", "RDBMS");

Next, we define relationships between these newly created elements:

f5.uses(jvm1, "route");
f5.uses(jvm2, "route");
f5.uses(jvm3, "route");

jvm1.uses(oracle, "storage");
jvm2.uses(oracle, "storage");
jvm3.uses(oracle, "storage");

Finally, create a container view that can be fed to a renderer:

ContainerView view = workspace.getViews()
  .createContainerView(paymentTerminal, "F5", "Container View");
view.addAllContainers();

Rendering the resulting diagram via PlantUML produces:

Containers

7. Components

The next level of detail in the C4 model is provided by the component view. Creating one is similar to what we’ve done before.

First, we create some components in a container:

Component jaxrs = jvm1.addComponent("jaxrs-jersey", 
  "restful webservice implementation", "rest");
Component gemfire = jvm1.addComponent("gemfire", 
  "Clustered Cache Gemfire", "cache");
Component hibernate = jvm1.addComponent("hibernate", 
  "Data Access Layer", "jpa");

Next, let’s add some relationships:

jaxrs.uses(gemfire, "");
gemfire.uses(hibernate, "");

Finally, let’s create the view:

ComponentView componentView = workspace.getViews()
  .createComponentView(jvm1, JVM_COMPOSITION, "JVM Components");

componentView.addAllComponents();

A rendition of the resulting diagram via PlantUML results in:

Components

8. Component Extraction

For existing code-bases using the Spring framework, Structurizr provides an automated way of extracting Spring-annotated components and adding them to the architectural artifacts.

To utilize this feature, we need to add yet another dependency:

<dependency>
    <groupId>com.structurizr</groupId>
    <artifactId>structurizr-spring</artifactId>
    <version>1.0.0-RC5</version>
</dependency>

Next, we need to create a ComponentFinder configured with one or more resolution strategies. Resolution strategies affect things such as which components will be added to the model, depth of dependency tree traversal etc.

We can even plug in custom resolution strategies:

ComponentFinder componentFinder = new ComponentFinder(
  jvm, "com.baeldung.structurizr",
  new SpringComponentFinderStrategy(
    new ReferencedTypesSupportingTypesStrategy()
  ),
  new SourceCodeComponentFinderStrategy(new File("/path/to/base"), 150));

Finally, we start the finder:

componentFinder.findComponents();

The code above scans the package com.baeldung.structurizr for Spring-annotated beans and adds them as components to the container JVM. Needless to say, we’re free to implement our own scanners, JAX-RS annotated resources and even Google Guice binders.

An example of a simple diagram from a sample project is reproduced below:

spring

9. Conclusion

This quick tutorial covers the basics of the Structurizr for Java project.

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.
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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:

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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.

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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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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.

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

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