In our previous blog post, we introduced Netflix’s TimeSeries Abstraction, a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies…

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Netflix's Distributed Counter Abstraction is a high-performance, scalable counting service built on top of their TimeSeries Abstraction. It supports two primary counting modes—Best-Effort and Eventually Consistent—to cater to different use cases and trade-offs involving accuracy, latency, and infrastructure costs. The service aims to handle high throughput and availability by leveraging a combination of caching, durable queuing, and periodic aggregation mechanisms. Additionally, it incorporates various approaches to manage potential data loss, idempotency, and contention issues inherent in distributed systems.

Netflix’s Distributed Counter Abstraction