TimeSeries Tiered Storage Journey: Kafka/Flink Streams to Native Cassandra Cold Reads
- Netflix: 20 events in the last 90 days
- Previous: earlier the same day · Behind the Scenes: Evolving Netflix’s Ads Event Pipeline for Live — Part II
What happened
By Oleksii Tkachuk , Rajiv Shringi , Chris Lohfink , Abe Ratnofsky , Kartik Sathyanarayanan Introduction In an earlier post , we introduced the TimeSeries Abstraction, our high-throughput, low-latency platform designed to store and query temporal event data at scale. It has since become the operational backbone for Netflix’s largest datasets, which now span multiple petabytes. However, managing such large datasets i…
Summary assembled by rule from the sources below