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Microservice - Communication

Sure bro, I’ll explain it in a simple and clear way, like we're just talking casually.
Let’s go step-by-step.


How Microservices Communicate With Each Other (Detailed Explanation)

Microservices usually don’t run as one big system.
They are separate small services, running in different servers/containers, and they need to talk to each other.

Communication happens in two ways:


πŸ”΅ 1. Synchronous Communication

(Real-time, blocking — “I ask now, you answer now”)

Example:
Service A → waits → Service B responds → then A continues.

Common Protocols/Methods:

a) REST API (HTTP calls)

  • Most common

  • Simple

  • Uses HTTP + JSON

  • Example:

    • Order Service calls Payment Service’s API:
      POST /payment/process

b) gRPC

  • Faster than REST

  • Uses binary protocol

  • Uses HTTP/2

  • Best for internal communication

  • Requires .proto files

c) GraphQL

  • Not very common between services, but possible

  • One service queries another for custom data

✔ Advantages

  • Simple and easy

  • Widely supported

❌ Disadvantages

  • Service A is dependent on Service B

  • If B is slow/down → A also becomes slow/down

  • High latency


πŸ”΅ 2. Asynchronous Communication

(Not real-time — “I send a message, you process whenever you want”)

Service A → sends message → doesn’t wait → continues
Service B → processes message later

This uses message brokers.


πŸ”₯ Common Messaging Systems

a) Apache Kafka

  • Distributed message streaming platform

  • High performance

  • Used for large-scale event-driven systems

  • Services publish events → others subscribe

b) RabbitMQ

  • Message queue

  • Uses AMQP protocol

  • Reliable, supports acknowledgement

  • Good for task queues

c) AWS SQS / SNS

  • Cloud-based

  • Serverless

  • Very reliable and scalable

d) Azure Service Bus / Google Pub-Sub

  • Cloud message brokers


✔ Where Asynchronous is usually used?

  • Sending emails

  • Notifications

  • Payment confirmation

  • Event-driven architectures

Example:

Order Service → sends event to Kafka → Payment Service receives → Inventory Service receives
All services remain loosely coupled.


Types of Communication Patterns

1. Request–Response (Sync)

A → B → Response → A continues

2. Fire-and-Forget (Async)

A → sends message → doesn't care about response

3. Event-Driven

A → publishes event
Many services → subscribe

4. Publish–Subscribe (Pub/Sub)

One message → multiple listeners
(Kafka, SNS, etc.)

5. Message Queue

Messages are stored in queue → consumers process them
(RabbitMQ, SQS)


Service Discovery

Since microservices run on multiple servers with dynamic IPs:

Systems used:

  • Eureka (Netflix)

  • Consul

  • Zookeeper

  • Kubernetes Service Discovery

They help one service find another automatically.


API Gateway

All external users talk to one entry point (API Gateway)

It handles:

  • Routing

  • Authentication

  • Load balancing

  • Rate limiting

  • Logging

Examples:

  • Kong

  • NGINX

  • AWS API Gateway

  • Zuul

  • Istio Ingress in Kubernetes


Circuit Breaker Pattern

If Service B is slow/failed:

Service A uses circuit breaker to:

  • Stop calling B temporarily

  • Return fallback response

  • Avoid cascading failures

Libraries:

  • Netflix Hystrix

  • Resilience4j

  • Istio retry policies


Diagram (Simple)

        ┌──────────────┐       Sync REST       ┌──────────────┐
        │ Order Service ├──────────────────────► Payment Serv. │
        └───────▲──────┘                        └──────▲──────┘
                │ Async Event (Kafka)                  │
                └──────────────────────────────────────┘

⭐ Summary (In Style You Prefer πŸ˜„)

Bro, microservices talk to each other mainly in two styles:

πŸ”Ή Sync (REST, gRPC)

Like calling your friend on phone and waiting for reply.

πŸ”Ή Async (Kafka, RabbitMQ)

Like sending a WhatsApp message — reply comes later.

Microservices also need:

  • API Gateway

  • Service Discovery

  • Circuit Breakers

  • Load Balancers

All of these ensure a scalable, fault-tolerant, loosely coupled system.


If you want, I can also explain:
✔ With real project example
✔ With code (Java + Spring Boot)
✔ With diagrams
✔ When to use sync vs async

Just tell me, bro! 

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