advanced• 20 min read• Published 6/14/2026
Real-Time Analytics Pipeline
Design a high-throughput pipeline to ingest and process user events in real-time.
kafkaflinkstreaming
Real-Time Analytics Pipeline
This guide covers how to design a low-latency analytics pipeline.
Problem Statement
You need to ingest 5 million events per minute from mobile clients and provide real-time dashboards with less than 5 seconds of latency.
Architecture: Design a real-time event ingestion and aggregation pipeline using Kafka and Flink.
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Example SQL Query
-- Example aggregation logic
SELECT event_type, COUNT(*) as volume
FROM stream_events
GROUP BY event_type
HAVING volume > 100;
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