Spring Boot 4 Microservices & REST APIs · 강의

서비스 간 통신 기초

마이크로서비스 간 REST 호출과 같은 동기식 통신 패턴을 살펴봅니다.

서비스 간 통신 기초은(는) CoddyKit의 무료 Spring Boot 4 Microservices & REST APIs 강의입니다. 이것은 3개 중 2번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Spring Boot 4 Microservices & REST APIs 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Spring Boot 4 Microservices & REST APIs 강의에는 총 3개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

Talking Between Services

Microservices are small, independent services. For them to work together, they need to communicate! Imagine an Order Service needing product details from a Product Service.

This lesson explores how services talk to each other. We'll focus on synchronous communication, where one service waits for a reply from another.

Sync or Async?

Communication between services can be:

Synchronous: The calling service sends a request and waits for a response before continuing its own task. Think of a phone call.
Asynchronous: The calling service sends a request and doesn't wait for an immediate response. It continues its work. Think of sending an email.

Today, we'll dive into synchronous communication, often done using REST APIs.

RESTful Service Calls

REST (Representational State Transfer) is a popular architectural style for web services. It's also perfect for microservices to communicate.

Services expose endpoints, and others consume them using standard HTTP methods like GET, POST, PUT, and DELETE.

It's like one service acting as a client and another as a server, just like your browser talks to a website.

How Services Connect

When Service A needs data from Service B, Service A acts as an HTTP client. It constructs an HTTP request (method, URL, headers, body) and sends it to Service B.

Service B, acting as an HTTP server, processes the request and sends back an HTTP response (status code, headers, body).

This is a fundamental pattern in microservice architectures.

Our Target Service Example

To demonstrate, let's imagine a simple "Product Service" that our "Order Service" will call. This service will have both GET and POST endpoints.

This code snippet shows a basic Spring Boot controller for our Product Service, running on port 8081. It simulates product retrieval and creation.

package com.example.productservice;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RestController;
import java.util.Map;

@SpringBootApplication
@RestController
public class ProductServiceApplication {

    public static void main(String[] args) {
        SpringApplication.run(ProductServiceApplication.class, args);
    }

    @GetMapping("/products/{id}")
    public String getProductInfo(@PathVariable String id) {
        return "Product " + id + " Details (from Product Service)";
    }

    @PostMapping("/products")
    public String createProduct(@RequestBody Map<String, String> productData) {
        String name = productData.getOrDefault("name", "Unknown");
        String price = productData.getOrDefault("price", "0.00");
        return "Created Product: " + name + " with price " + price + " (via Product Service)";
    }
}

Calling with RestTemplate (GET)

Spring's RestTemplate is a synchronous client for making HTTP requests. It's a classic way to call other REST services.

Here's how our "Order Service" could use RestTemplate to get product info from our Product Service:

package com.example.orderservice;

import org.springframework.web.client.RestTemplate;

public class OrderServiceCaller {

    public static void main(String[] args) {
        RestTemplate restTemplate = new RestTemplate();
        String productId = "123";
        String url = "http://localhost:8081/products/" + productId; // Product Service URL

        System.out.println("Calling Product Service for ID: " + productId);
        try {
            String result = restTemplate.getForObject(url, String.class);
            System.out.println("Received: " + result);
        } catch (Exception e) {
            System.out.println("Error calling Product Service: " + e.getMessage());
        }
    }
}

Processing the Response

When RestTemplate makes a call, it expects a response. The getForObject() method automatically converts the response body into the specified Java type (here, String.class).

For more control, you can use getForEntity() which returns a ResponseEntity object. This gives you access to:

Status Code: E.g., 200 OK, 404 Not Found.
Headers: E.g., Content-Type.
Body: The actual data.

Sending Data with POST

Often, services need to send data to each other, not just request it. This is where POST requests come in.

RestTemplate provides methods like postForObject() or postForEntity() to send data in the request body.

Let's see how our "Order Service" could create a new product:

package com.example.orderservice;

import org.springframework.web.client.RestTemplate;
import java.util.HashMap;
import java.util.Map;

public class OrderServicePostCaller {

    public static void main(String[] args) {
        RestTemplate restTemplate = new RestTemplate();
        String url = "http://localhost:8081/products"; // Product Service POST URL

        // Data to send in the request body
        Map<String, String> productData = new HashMap<>();
        productData.put("name", "New Gadget");
        productData.put("price", "99.99");

        System.out.println("Calling Product Service to create product...");
        try {
            // postForObject sends data and expects a response object
            String result = restTemplate.postForObject(url, productData, String.class);
            System.out.println("Received: " + result);
        } catch (Exception e) {
            System.out.println("Error calling Product Service POST: " + e.getMessage());
        }
    }
}

Handling Communication Errors

What happens if the target service is down, or sends an error?

RestTemplate will throw exceptions for certain HTTP status codes (e.g., 4xx client errors, 5xx server errors) or connection issues.

It's crucial to wrap your service calls in try-catch blocks to gracefully handle these failures. You might log the error, return a default value, or inform the user.

Later lessons will cover more advanced resilience patterns like Circuit Breakers.

Quick Check: Communication

Consider a microservice architecture where an OrderService needs to fetch real-time stock availability from a WarehouseService before confirming an order.

Recap: Inter-Service Talk

In this lesson, we explored the basics of synchronous inter-service communication in a microservices architecture.

We learned that services often communicate using REST APIs and standard HTTP methods.
RestTemplate is a powerful Spring Boot tool for making these synchronous calls.
It's important to handle responses and errors gracefully.

Next, we'll look at more advanced communication patterns!

자주 묻는 질문

“서비스 간 통신 기초” 강의는 무료인가요?

네 — “서비스 간 통신 기초” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Spring Boot 4 Microservices & REST APIs 강의 전체를 잠금 해제할 수 있습니다. Spring Boot 4 Microservices & REST APIs 강의에는 총 3개의 강의가 포함되어 있습니다.

“서비스 간 통신 기초”에서 뭘 배우나요?

마이크로서비스 간 REST 호출과 같은 동기식 통신 패턴을 살펴봅니다. 브라우저에서 직접 실행하는 실습 코드로 Spring Boot 4 Microservices & REST APIs을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Spring Boot 4 Microservices & REST APIs을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Spring Boot 4 Microservices & REST APIs은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 3개 중 2번째 강의입니다.

“서비스 간 통신 기초” 강의는 얼마나 걸리나요?

대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.

이 Spring Boot 4 Microservices & REST APIs 강의에서 코드를 작성하고 실행할 수 있나요?

네. 모든 Spring Boot 4 Microservices & REST APIs 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.

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