In case of high write traffic, a message queue ensures asynchronous traffic handling
- Prevent Overload: Manages high write traffic by queuing requests
- Loose Coupling: Enables independent system components
- Asynchronous: Ensures low response time for clients
- Scalability: easy scaling by adding more consumers
- Retry Queue: retries requests that are retriable (reliability)
- Dead Letter Queue (DLQ): Handles non-retriable requests manually
distributed streaming platform handling large-scale data
- pros:
- durability: store data on disk, replicate data (retention)
- sequential process
- high availability: data is replicated across servers (automatic recovery)
- cons:
- consumer lag: process delay
- complexity
general message queue design for asynchronous communication
- pros:
- simplicity: simpler setup than kafka
- light weight: suitable for smaller traffic
- cons:
- lack of durability: data hold in memory (potentially loss)