TimeSeries Tiered Storage Journey: Kafka/Flink Streams to Native Cassandra Cold Reads

By Oleksii Tkachuk, Rajiv Shringi, Chris Lohfink, Abe Ratnofsky, Kartik SathyanarayananIntroductionIn 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 in hot storage, tuned for low-millisecond latency access, is not cheap. At Netflix, cost-efficiency is a continuous discipline rather than a temporary initiative. This post shares two…

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