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Microservicessystem_design~12 mins

gRPC for internal communication in Microservices - Architecture Diagram

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System Overview - gRPC for internal communication

This system uses gRPC for fast and efficient communication between microservices inside a data center. The goal is to enable low-latency, reliable, and scalable service-to-service calls with clear contracts.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  +-------------------+-------------------+
  |                   |                   |
Service A <--------> Service B <--------> Service C
  |                   |                   |
  v                   v                   v
Database A          Database B          Database C
  ^                   ^                   ^
  |                   |                   |
Cache A             Cache B             Cache C
Components
User
client
Initiates requests to the system
Load Balancer
load_balancer
Distributes incoming requests evenly to API Gateway instances
API Gateway
api_gateway
Handles client requests, authentication, and routes to microservices
Service A
service
Microservice handling specific business logic, communicates with other services via gRPC
Service B
service
Another microservice communicating internally using gRPC
Service C
service
Additional microservice in the system communicating via gRPC
Database A
database
Stores persistent data for Service A
Database B
database
Stores persistent data for Service B
Database C
database
Stores persistent data for Service C
Cache A
cache
Caches frequently accessed data for Service A to reduce database load
Cache B
cache
Caches frequently accessed data for Service B
Cache C
cache
Caches frequently accessed data for Service C
Request Flow - 18 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Service A
Service A → Cache A
Cache A → Service A
Service A → Database A
Database A → Service A
Service A → Cache A
Service A → Service B
Service B → Cache B
Cache B → Service B
Service B → Database B
Database B → Service B
Service B → Cache B
Service B → Service A
Service A → API Gateway
API Gateway → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Database B
Impact:Service B cannot retrieve fresh data; cache may serve stale data; writes fail causing data loss
Mitigation:Use database replication for failover; cache serves stale reads; alert and retry writes later
Architecture Quiz - 3 Questions
Test your understanding
Which component handles client authentication and routes requests to microservices?
AService A
BLoad Balancer
CAPI Gateway
DCache A
Design Principle
Using gRPC for internal communication enables fast, efficient, and strongly-typed calls between microservices. Caches reduce database load and latency. The layered architecture with load balancer and API gateway ensures scalability and security.