Serverless Functions with Spring Cloud Function
Last Updated :
27 Mar, 2024
Serverless computing in Spring Boot is popular because of its simplicity and low cost. Working serverless allows us to focus on writing code without worrying about managing infrastructure. Spring Cloud Function is a framework that can enable serverless services using the Spring ecosystem. It allows developers to write projects as spring beans and use them.
Spring Cloud Function can provide a simple and consistent programming model for creating serverless functions. It can allow the developers to write the functions as Spring beans which can be developed as serverless applications. Creating the functions as the beans and exposing them as the HTTP endpoints or integrating them with the messaging systems.
Implementation of Serverless Functions with Spring Cloud Function
Using Java Spring Boot and WebSocket, we can easily create a simple application.
Step 1: Create a spring project, using spring initializr, and add the below dependencies in the project.
Dependencies:
- Spring Web
- Lombok
- Spring Dev Tools
- Spring Cloud Function
After successfully creating the project, the file structure will look like the below image.

Step 2: Create the new package and it named as function in that package create the new Java class and it named as the UppercaseFunction.
Go to src > java > main > com.example.serverlessfunctiondemo > function > UppercaseFunction and put the below code.
Java
/**
* A Spring Cloud Function implementation that converts a given string to uppercase.
*/
@Component
public class UppercaseFunction implements Function<String, String> {
/**
* Input string converted to uppercase.
*/
@Override
public String apply(String input) {
return input.toUpperCase();
}
}
Step 3: Create the new package and it named as controller in that package create the new Java class and it named as the FunctionController.
Go to src > java > main > com.example.serverlessfunctiondemo > controller > FunctionController and put the below code.
Java
/**
* Controller class responsible for handling HTTP requests related to the uppercase conversion function.
*/
@RestController
public class FunctionController {
/**
* Endpoint to convert a given string to uppercase.
*/
@PostMapping("/api/uppercase")
public String convertToUppercase(@RequestBody String input) {
return input.toUpperCase();
}
}
Step 4: Create the new Java class and it named as the FunctionControllerTest.
Go to src > java > main > com.example.serverlessfunctiondemo > Test > FunctionControllerTest and put the below code.
Java
package com.example.serverlessfunctionsdemo;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.http.MediaType;
import org.springframework.test.web.servlet.MockMvc;
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders;
import org.springframework.test.web.servlet.result.MockMvcResultMatchers;
/**
* This class provides unit tests for the FunctionController class. It ensures that the functionality
* of converting a string to uppercase works as expected.
*/
@SpringBootTest
@AutoConfigureMockMvc
public class FunctionControllerTest {
@Autowired
private MockMvc mockMvc;
/**
* Test case to verify the behavior of converting a string to uppercase in the FunctionController class.
* @throws Exception if any error occurs during the test execution
*/
@Test
public void testConvertToUppercase() throws Exception {
String input = "hello world";
String expectedOutput = "HELLO WORLD";
mockMvc.perform(MockMvcRequestBuilders.post("/api/uppercase")
.contentType(MediaType.TEXT_PLAIN)
.content(input))
.andExpect(MockMvcResultMatchers.status().isOk())
.andExpect(MockMvcResultMatchers.content().string(expectedOutput));
}
}
Step 5: Now, open the main class file and write the below code.
Java
/**
* Main class responsible for starting the serverless functions demo application.
*/
@SpringBootApplication
public class ServerlessFunctionsDemoApplication {
/**
* Main method to start the application.
*/
public static void main(String[] args) {
SpringApplication.run(ServerlessFunctionsDemoApplication.class, args);
}
}
Step 6: Once we completed all the steps, run the project as the Spring boot application and it will start at port 8080. Refer the below console output image for the better understanding.

Step 7: Test the Application

Output:
Uppercase API:
POST http://localhost:8080/api/uppercase
Refer the below image:

If we follow the above steps, then we can successfully demonstrate the serverless functions with Spring Cloud function of the spring project.
Similar Reads
Spring Boot - Cloud Configuration Server
In microservices, we have several different services responsible for different functionalities. These services act like smaller application modules, which together form the application. Each of these modules has its own responsibility, based on the business logic of the application being built. Thes
10 min read
Function Calling and Java Integration with Spring AI Models
Spring AI is a powerful Spring Framework project that brings Java developers artificial intelligence (AI) capabilities. By integrating AI models into Java applications, Spring AI simplifies the process of creating intelligent applications while leveraging the robustness of the Spring ecosystem. This
5 min read
Spring Cloud Stream - Functional and Reactive
Spring Cloud Stream is a Spring framework that simplifies creating event-driven microservices. It uses functional programming constructs for message processing logic, often using annotated methods within a class and reactive programming tools like Reactor for asynchronous and reactive processing. Ma
3 min read
Spring Cloud Stream - Composed Functions or EIP
Spring Cloud Stream is a framework for creating highly scalable event-driven microservices that communicate over common messaging systems. The framework provides a versatile programming architecture based on well-known Spring idioms and best practices, such as support for persistent pub/sub semantic
2 min read
Spring - Constructor Injection with Map
In the Constructor Injection, the dependency injection will be injected with the help of constructors. Now to set the dependency injection as constructor dependency injection(CDI) in bean, it is done through the bean-configuration file For this, the property to be set with the constructor dependency
3 min read
Creating Profiles in Spring Cloud Config Server
Spring Cloud Config provides both server-side and client-side support for external systems in a distributed system. Using the Config Server, we can manage the configuration for multiple applications from the central place. Profiles in the Spring Cloud Config can allow you to provide different config
4 min read
Spring - Setter Injection with Map
Spring Framework is a powerful tool for Java developers because it offers features like Dependency Injection (DI) to simplify application development. One of the key features of Spring is Setter Injection, which allows us to inject dependencies into our beans using setter methods. In this article, w
5 min read
Microservices Communication with Apache Kafka in Spring Boot
Apache Kafka is a distributed streaming platform and can be widely used to create real-time data pipelines and streaming applications. It can publish and subscribe to records in progress, save these records in an error-free manner, and handle floating records as they arrive. Combined with Spring Boo
6 min read
Introduction to Spring Cloud Stream
Spring framework always aspired to simplify enterprise Java development. They offered Spring Boot framework to simplify creating Java-based microservices. Similarly, the Spring Integration framework was designed to provide a solution for simplified application integration. However, some modern enter
7 min read
How To Use Azure Functions For Serverless Computing?
Serverless Computing is a widely adapted approach and a cloud computing extension model where customers can solely engage in building the logic and the server infrastructure completely managed by third-party cloud service providers. In Microsoft Azure, serverless computing can be carried out in vari
6 min read