How to Design an Event-Driven Analytics Pipeline — A System Design Deep Dive

Short summary

Fintech case study: event-driven analytics pipeline (10K events/day) batched to S3 via cron, reports generated with Lambda and Kafka. Cron jobs beat complex streaming at this scale; Kafka re-enters for on-demand requests. Core lesson: build the simplest architecture meeting actual non-functional requirements.

• •Event-driven pipeline: events → RDBMS → S3 (cron-batched) → reports (Lambda)
• •Cron jobs beat Kafka at 10K events/day; Kafka handles on-demand requests with durability
• •Design principle: complexity follows requirements, not architecture trends

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