Real-Time Analytics vs Real-Time Noise
Real-Time Analytics vs Real-Time Noise

Real-Time Analytics vs Real-Time Noise

Author
Shiv Bade
Tags
analytics
stream processing
real-time
observability
Published
November 7, 2014
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Everyone wants “real-time analytics,” but what they often build is real-time noise.
We moved to an event-driven tracking system this year, with Kafka + stream processors, and learned: - Metrics need context, not just speed - Dashboards should be opinionated, not raw - Alerts without thresholds are just spam
Kafka Stream Flow
Kafka Stream Flow
Real-time insights come from clarity of purpose, not data firehoses.