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Microservicessystem_design~12 mins

Aggregates and entities in Microservices - Architecture Diagram

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System Overview - Aggregates and entities

This system demonstrates how aggregates and entities are organized within a microservices architecture. Aggregates group related entities to maintain consistency and transactional boundaries. The system ensures that each microservice manages its own aggregate root, coordinating entity changes internally while communicating with other services asynchronously.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  +-------------------+-------------------+
  |                   |                   |
Order Service     Customer Service     Inventory Service
  |                   |                   |
Aggregate Root     Aggregate Root     Aggregate Root
(Order Aggregate)  (Customer Aggregate) (Inventory Aggregate)
  |                   |                   |
Entities           Entities           Entities
  |                   |                   |
Database           Database           Database
  |                   |                   |
Cache              Cache              Cache
Components
User
user
Initiates requests to the system
Load Balancer
load_balancer
Distributes incoming requests evenly across API Gateway instances
API Gateway
api_gateway
Routes requests to appropriate microservices and handles authentication
Order Service
service
Manages Order aggregate and its entities
Customer Service
service
Manages Customer aggregate and its entities
Inventory Service
service
Manages Inventory aggregate and its entities
Order Aggregate Root
aggregate_root
Ensures consistency and transactional boundary for Order entities
Customer Aggregate Root
aggregate_root
Ensures consistency and transactional boundary for Customer entities
Inventory Aggregate Root
aggregate_root
Ensures consistency and transactional boundary for Inventory entities
Database
database
Stores persistent data for each service
Cache
cache
Speeds up read operations by storing frequently accessed data
Request Flow - 10 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Order Service
Order Service → Cache
Cache → Order Service
Order Service → Database
Database → Order Service
Order Service → Cache
Order Service → API Gateway
API Gateway → User
Failure Scenario
Component Fails:Database
Impact:Writes to aggregates fail, but reads may succeed if cache has data. Data consistency risks increase.
Mitigation:Use database replication and failover to restore availability. Cache serves stale reads temporarily.
Architecture Quiz - 3 Questions
Test your understanding
Which component ensures transactional consistency within an aggregate?
AAggregate Root
BAPI Gateway
CLoad Balancer
DCache
Design Principle
This architecture demonstrates the principle of aggregate roots as transactional boundaries within microservices. Each service manages its own aggregate and entities to maintain consistency. Caches improve read performance, while API Gateway and load balancer ensure proper routing and scalability.