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Case Study: Netflix achieves real-time playback observability at massive scale with Imply
A Imply Case Study
How Druid Provides Internet-Scale Observability at Netflix
Netflix needed a way to deliver real-time observability for playback quality, where users are waiting for an immediate response and latency must stay extremely low. Working with Imply, Netflix used Apache Druid to power fast analytics across massive event streams.
Imply helped Netflix ingest 2 million events per second and query 1.5 trillion rows in milliseconds, giving the team real-time visibility into playback performance at scale. The result was a highly responsive monitoring system with a 2x improvement in row count handling, supporting consistent viewing experiences through ultra-low-latency insights.
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Netflix
Parth Brahmbhatt
Senior Software Engineer