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Design a logging and analytics system for 1TB of logs per day.
Ingestion: Kafka as durable buffer; handles burst traffic Storage: Cassandra for time-series raw logs (high write, TTL for retention) Aggregation: Spark Streaming on Kafka → pre-aggregate to Cassandra summary tables Search: Elasticsearch for full-text log search (last 7 days) Redis: real-time counters (errors per minute), alerting thresholds MongoDB: stored queries, dashboard configs, alert rules
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