Design a system to detect sudden add-to-cart drops in real time
This tests streaming pipeline design and seasonality-aware anomaly detection. Outline Kafka or Kinesis ingestion, windowed aggregations, and ML baselines tuned to hourly and weekly trends. Red flag: static thresholds that ignore daily patterns.
This tests your ability to design scalable event-streaming architectures and select anomaly-detection algorithms that distinguish true outages from normal seasonal variance. A strong answer covers: Kafka or Kinesis for ingestion, Firehose or Flink for transformation, S3 for historical storage, and either statistical baselines or ML services like Lookout for Metrics that learn daily and weekly patterns with feedback loops. Red flag: proposing rigid static thresholds without accounting for Black Friday spikes, weekday rhythms, or data drift.
Read the original → aws.amazon.com
- #streaming
- #anomaly-detection
- #ecommerce
- #kinesis
- #lookout-for-metrics
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