How is communication between individual microservices implemented in the system architecture?
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Answer from AI
Communication between microservices in a system architecture is usually carried out using one of the following methods:
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HTTP/REST API — microservices exchange data via HTTP requests, using REST or other protocols over HTTP.
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gRPC — a high-performance remote procedure call protocol that uses Protocol Buffers for serialization.
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Messages through message brokers — asynchronous communication via queue systems such as RabbitMQ, Kafka, Redis Streams. This allows microservices to exchange events and data without direct calls to each other.
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WebSocket — for bidirectional real-time communication.
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Shared cache or database — a less preferred method, where microservices read and write to a common database, but this reduces independence.
Example of exchange via REST API:
# Service A sends a request to service B
import requests
response = requests.get("http://service-b/api/data")
data = response.json()
Asynchronous exchange via message broker:
# Publishing a message to RabbitMQ
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='task_queue')
channel.basic_publish(exchange='', routing_key='task_queue', body='Hello')
connection.close()
The choice of method depends on requirements for latency, reliability, and system complexity.