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LLDsystem_design~12 mins

Why e-commerce tests real-world complexity in LLD - Architecture Impact

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System Overview - Why e-commerce tests real-world complexity

An e-commerce system handles buying and selling products online. It must support many users, manage inventory, process payments, and handle orders reliably. This system faces real-world challenges like high traffic, data consistency, and fault tolerance.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  +--------------------+
  |                    |
Product Service     Order Service
  |                    |
  v                    v
Cache                Payment Service
  |                    |
  v                    v
Database             Message Queue
                        |
                        v
                  Payment Processor
Components
User
client
End user accessing the e-commerce platform
Load Balancer
load_balancer
Distributes incoming user requests evenly to backend services
API Gateway
api_gateway
Routes requests to appropriate services and handles authentication
Product Service
service
Manages product catalog and inventory
Order Service
service
Handles order creation and status tracking
Cache
cache
Stores frequently accessed product data to reduce database load
Payment Service
service
Processes payment requests asynchronously
Database
database
Stores persistent data like products, orders, and user info
Message Queue
queue
Queues payment tasks for asynchronous processing
Payment Processor
external_service
Third-party system that completes payment transactions
Request Flow - 22 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Product Service
Product Service → Cache
Cache → Product Service
Product Service → Database
Database → Product Service
Product Service → API Gateway
API Gateway → Load Balancer
Load Balancer → User
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Order Service
Order Service → Database
Order Service → Message Queue
Message Queue → Payment Service
Payment Service → Payment Processor
Payment Processor → Payment Service
Payment Service → Order Service
Order Service → API Gateway
API Gateway → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Database
Impact:New orders cannot be saved and product data cannot be updated. Cached product data can still be served but may be outdated.
Mitigation:Use database replication for failover and read replicas to reduce load. Cache helps serve read requests during DB downtime.
Architecture Quiz - 3 Questions
Test your understanding
Which component handles distributing user requests to backend services?
AAPI Gateway
BLoad Balancer
CCache
DMessage Queue
Design Principle
This e-commerce architecture demonstrates handling real-world complexity by using load balancing for scalability, caching for performance, asynchronous processing for reliability, and database replication for fault tolerance.