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How Netflix Built a Distributed Counter for Billions of User Interactions

ByteByteGo

ByteByteGo

Alex Xu • Published 4 months ago • 1 min read

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How Netflix Built a Distributed Counter for Billions of User Interactions

Netflix developed a Distributed Counter Abstraction to handle billions of user interactions globally, ensuring low latency, high throughput, and cost efficiency. The system supports two types of counting:

  • Best-Effort Counting: Provides approximate, fast results.
  • Eventually Consistent Counting: Ensures accurate, durable metrics.

Netflix's hybrid approach combines event logging, background aggregation, and caching to balance speed, accuracy, and scalability, enabling real-time decision-making and infrastructure optimization.

Core Technical Concepts/Technologies

  • Distributed Counter Abstraction
  • Best-Effort Counting vs. Eventually Consistent Counting
  • EVCache (Netflix's distributed caching solution)
  • Apache Kafka (durable queuing system)
  • Cassandra (durable storage for counters)
  • TimeSeries Abstraction (for temporal data management)
  • Rollup Pipeline (background aggregation process)

Imagine trying to count millions of events happening worldwide simultaneously while ensuring the results are fast, accurate, and cost-effective.

This article was originally published on ByteByteGo

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