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Advanced Spring

Microservices with Spring

Monolith se Microservices tak
💡 Monolith EK BADA, JOINT-FAMILY GHAR hai — SAB EK SAATH rehte hain, EK CHHOTI SI repair (change) POORE ghar ko AFFECT karti hai. Microservices ALAG-ALAG APARTMENTS hain — HAR FAMILY (service) apna khud ka space, INDEPENDENTLY renovate/manage kar sakti hai.

MONOLITH EK SINGLE, LARGE codebase/deployment unit hai — SAARI functionality (orders, users, payments) EK JAGAH. Simple hai START karne ke liye, LEKIN scale karте-karте, EK CHHOTA CHANGE bhi POORE application ko REDEPLOY karvaता hai, aur TEAMS ek-doosre ke code se COLLIDE karte hain.

MICROSERVICES architecture mein, application ko SMALL, INDEPENDENT services mein TODA jaata hai (Order Service, User Service, Payment Service) — HAR EK apna khud ka DATABASE, DEPLOYMENT, aur SCALING rakhती hai. Services APAS mein REST (synchronous, IMMEDIATE response) ya MESSAGE QUEUES (Kafka/RabbitMQ, asynchronous, DECOUPLED) se COMMUNICATE karti hain.

// Order Service (independent deployment):
@SpringBootApplication
public class OrderServiceApplication { }

// Synchronous call — IMMEDIATE response chahiye:
Inventory inventory = restTemplate.getForObject(
    "http://inventory-service/api/check/" + productId, Inventory.class);

// Asynchronous — "fire and forget", DECOUPLED:
@Service
public class OrderService {
    private final KafkaTemplate<String, OrderEvent> kafkaTemplate;

    public void placeOrder(Order order) {
        orderRepository.save(order);
        kafkaTemplate.send("order-events", new OrderEvent(order));
        // Order service ko WAIT nahi karna — inventory/email services APNI SPEED se process karengi
    }
}
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Monolith EK BADA, JOINT-FAMILY GHAR hai — SAB EK SAATH rehte hain, EK CHHOTI SI repair (change) POORE ghar ko AFFECT karti hai. Microservices ALAG-ALAG APARTMENTS hain — HAR FAMILY (service) apna khud ka space, INDEPENDENTLY renovate/manage kar sakti hai.
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⚡ Quick Recap
  • Monolith = ek deployment unit, simple start, harder to scale
  • Microservices = independent services, apna database/deployment, complex lekin scalable
  • Synchronous (REST) vs Asynchronous (Kafka/RabbitMQ) communication
On this page (2 subtopics)

Monolith mein, POORA application EK codebase, EK deployment unit hai — CHHOTA sa change bhi POORE application ko REDEPLOY karvaता hai. Microservices mein, HAR service INDEPENDENTLY deploy, scale, aur develop ho sakti hai — Order service ko scale karna ho to SIRF USKO scale karo, poore system ko NAHI.

💡Tip: Microservices HAMESHA BEHTAR NAHI hain — WO complexity add karte hain (network calls, distributed transactions, service discovery). Chhoti teams/applications ke liye, WELL-STRUCTURED monolith aksar BEHTAR choice hoti hai.

Services EK-DUSRE se DO tareeke se baat kar sakti hain — SYNCHRONOUS (REST/HTTP calls, RestTemplate/WebClient se, IMMEDIATE response chahiye) ya ASYNCHRONOUS (message queues jaise Kafka/RabbitMQ, "FIRE AND FORGET", decoupled, RESILIENT to failures).

  • Synchronous (REST) = immediate response chahiye, TIGHT coupling
  • Asynchronous (Kafka/RabbitMQ) = decoupled, RESILIENT, eventual consistency
  • Real systems mein, DONO patterns EK SAATH use hote hain