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LLDsystem_design~12 mins

Concurrency considerations in LLD - Architecture Diagram

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System Overview - Concurrency considerations

This system manages multiple tasks running at the same time without interfering with each other. It ensures data stays correct and the system stays fast even when many users or processes work together.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  v
+-------------------+       +----------------+
|   Worker Service   |<----->|  Message Queue  |
+-------------------+       +----------------+
        |  ^                        |
        v  |                        v
+-------------------+       +----------------+
|  Shared Database   |<----->| Distributed Lock|
+-------------------+       +----------------+
        ^
        |
      Cache
Components
User
client
Initiates requests to the system
Load Balancer
load_balancer
Distributes incoming requests evenly to API Gateway instances
API Gateway
api_gateway
Routes requests to appropriate worker services and handles authentication
Worker Service
service
Processes tasks concurrently, manages business logic
Message Queue
queue
Queues tasks for asynchronous processing to avoid blocking
Shared Database
database
Stores persistent data accessed by multiple workers
Distributed Lock
lock_service
Coordinates access to shared resources to prevent conflicts
Cache
cache
Stores frequently accessed data to reduce database load
Request Flow - 13 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Worker Service
Worker Service → Distributed Lock
Distributed Lock → Worker Service
Worker Service → Cache
Cache → Worker Service
Worker Service → Shared Database
Worker Service → Message Queue
Message Queue → Worker Service
Worker Service → API Gateway
API Gateway → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Distributed Lock
Impact:Multiple workers may access shared resources simultaneously causing data corruption or race conditions.
Mitigation:Use a highly available distributed lock service with failover and retries. Implement optimistic concurrency controls in the database as backup.
Architecture Quiz - 3 Questions
Test your understanding
Which component ensures that multiple workers do not update the same data at the same time?
AMessage Queue
BCache
CDistributed Lock
DLoad Balancer
Design Principle
This architecture uses distributed locks and message queues to safely manage concurrent access and asynchronous processing, ensuring data consistency and system responsiveness under multiple simultaneous tasks.