Scenario: You are designing a real-time analytics platform for monitoring user activity on a website. Which pipeline architecture would you choose, and why?
- Apache Flink: Stream processing with exactly-once semantics
- Apache Kafka: Message queue for data ingestion
- Kappa Architecture: Single layer for both batch and real-time processing
- Lambda Architecture: Batch layer, Serving layer, Speed layer
Lambda Architecture is a suitable choice for real-time analytics as it combines batch processing with stream processing, allowing for both real-time and historical data analysis. The batch layer ensures comprehensive analysis of all available data, while the speed layer provides up-to-date insights by processing recent data streams. This approach offers fault tolerance, scalability, and the ability to handle varying workloads effectively.
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