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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