Setting Up a Centralized Configuration Server on Azure Spring Cloud
In my previous blog post, we introduced ourselves to Microsoft Azure deployment. If you've not read that yet then its the right time to check that before going ahead.
Centralized configuration management is crucial when scaling microservices. In this post, we’ll set up Azure Spring Cloud Config Server to manage Spring Boot configurations using a Git repository for easy updates and consistency across services.
Prerequisites
Before we start, make sure to:
1. Create a Configuration Git Repository
Create a Git repository to store your configuration files. Add:
application.yml
for shared configs.application-dev.yml
for dev-specific configurations.
2. Spring Boot Application Setup
Setup the application with Spring Initializr
You can generate a Spring Boot project at start.spring.io with the required dependencies for Spring Web, Spring Data JPA, and Spring Cloud Config.
Define Configuration Files
In the Git repository:
application.yml
spring: application: name: customer-service datasource: url: jdbc:mysql://localhost:3306/customerdb username: ${DB_USER} password: ${DB_PASS}
application-dev.yml file
spring: datasource: url: jdbc:mysql://dev-db-server:3306/customerdb username: ${DB_USER_DEV} password: ${DB_PASS_DEV} cloud: config: uri: https://<YOUR_AZURE_CONFIG_SERVER_URL> label: main enabled: true
Note: Secure sensitive information in Azure Key Vault.
Application Properties
spring.application.name=customer-service
spring.profiles.active=dev
Add depedencies in the pom file
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-config</artifactId>
</dependency>
<dependency>
<groupId>com.microsoft.azure</groupId>
<artifactId>azure-spring-cloud-dependencies</artifactId>
<version>2.1.1</version>
</dependency>
3. Build the Spring Boot Service
Entity Class -
Customer.java
@Entity public class Customer { @Id @GeneratedValue private Long id; private String name; private String email; }
Repository Interface -
CustomerRepository.java
public interface CustomerRepository extends JpaRepository<Customer, Long> { }
Service Layer -
CustomerService.java
javaCopy code@Service public class CustomerService { @Autowired private CustomerRepository repository; public List<Customer> getAllCustomers() { return repository.findAll(); } }
Controller -
CustomerController.java
@RestController @RequestMapping("/api/customers") public class CustomerController { @Autowired private CustomerService service; @GetMapping public List<Customer> getCustomers() { return service.getAllCustomers(); } }
4. Configure Azure Spring Cloud Config Server
Configure Azure Spring Cloud to point to your Git repository:
az spring-cloud config-server set \
--name <SPRING_CLOUD_APP_NAME> \
--config-file application.yml \
--resource-group <RESOURCE_GROUP_NAME>
5. Connecting Spring Boot to the Config Server
The Spring Boot application will automatically retrieve configurations from Azure Spring Cloud.
6. Testing and Deployment
After deploying your application, test it using cURL, Postman, or a browser.
Test with cURL
-curl -X GET http://<APP_URL>/api/customers
Postman/Insomnia
- Create a GET request to
http://<APP_URL>/api/customers
.
- Create a GET request to
Browser
- Navigate to
http://<APP_URL>/api/customers
.
- Navigate to
Refreshing Configuration
To apply changes from the Git repository without restarting, enable the Actuator’s refresh endpoint in application.properties
:
management.endpoints.web.exposure.include=refresh
Then refresh:
curl -X POST http://<APP_URL>/actuator/refresh
Cleanup
To avoid charges, delete your resource group:
az group delete --name <RESOURCE_GROUP_NAME>
This setup provides a flexible way to centralise the required configurations across multiple services using the Azure Spring Cloud Config Server. The above mentioned steps enable you to manage properties across environments, scale securely, and ensure all your microservices stay in sync.
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Written by
Karthikeyan RM
Karthikeyan RM
I am a backend developer primarily working on Java, Spring Boot, Hibernate, Oracle, Docker, Kubernetes, Jenkins and Microsoft Azure.