I have 10 micro services, at a time want to refresh 10 micro services data using queries?

 If you need to refresh data across 10 microservices simultaneously using queries, there are a few approaches you can consider. These approaches aim to ensure that all microservices receive and process the data refresh request effectively.

Approach 1: Coordinated API Calls

1.     Expose Refresh Endpoints: Each microservice should have an API endpoint (e.g., /refresh-data) that handles the data refresh logic.

2.     Central Coordinator Service: Create a central coordinator service that is responsible for making HTTP requests to the refresh endpoints of all 10 microservices. This service can be a standalone application or part of your existing infrastructure.

3.     Make Concurrent Requests: The coordinator service should make HTTP requests to the refresh endpoints of all microservices concurrently. You can use libraries or tools that support parallel HTTP requests, such as:

• Java: CompletableFuture or ExecutorService.

4.     Handle Responses and Errors: Collect responses from each service and handle any errors or retries as needed. Ensure that the coordinator service can log the status of each request and handle failures gracefully.

Approach 2: Message Queue System

1.     Set Up a Message Queue: Use a message queue (e.g., RabbitMQ, Kafka) to send a refresh command to all microservices.

2.     Microservices as Consumers: Each microservice should subscribe to the queue and listen for refresh commands. When a refresh command is received, the microservice performs the data refresh.

3.     Send Refresh Message: Publish a refresh message to the queue that all microservices can consume. Each microservice will process the message and refresh data accordingly.

4.     Handle Message Processing: Ensure that each microservice handles the message processing asynchronously and efficiently.