Kafka - Basics and Event Streaming
You want to build a real-time analytics system that processes large volumes of data and keeps a full history of all events for auditing. Which combination of messaging systems is the best approach?
You want to build a real-time analytics system that processes large volumes of data and keeps a full history of all events for auditing. Which combination of messaging systems is the best approach?
hard📝 Conceptual Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Identify requirements
The system needs to handle large data volumes, keep full event history, and provide real-time notifications.Step 2: Match systems to requirements
Kafka is ideal for storing large data streams and keeping history. Redis Pub/Sub is fast for real-time notifications but does not store data.Step 3: Evaluate other options
RabbitMQ is good for routing and delivery but less suited for big data storage. Redis Pub/Sub alone cannot store messages. RabbitMQ alone is not optimized for large data streams.Final Answer:
Use Kafka for event storage and Redis Pub/Sub for real-time notifications. -> Option AQuick Check:
Kafka stores history + Redis Pub/Sub fast notifications [OK]
Quick Trick: Combine Kafka storage with Redis Pub/Sub speed [OK]
Common Mistakes:
- Using Redis Pub/Sub alone for storage
- Assuming RabbitMQ handles big data storage well
- Ignoring Kafka's strength in event history
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