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Behind the Scenes: Evolving Netflix's Ads Event Pipeline for Live
Netflix migrated its live ad-serving pipeline to Apache Flink to improve reliability and handle complex event streams at scale.
What: Netflix replaced its legacy ad event pipeline with a Flink-based system, moving metadata enrichment into stateful streaming joins. The new architecture handles region-aware routing, late events, and achieved 99.99% parity with the legacy system.
Why it matters: This shows how streaming state management can offload heavy processing from critical request-response paths in high-scale systems.
Deep dive
- Implemented stateful streaming joins in Apache Flink for metadata enrichment.
- Designed for regional routing and robust handling of late-arriving events.
- Developed a dual-run validation strategy to ensure 99.99% accuracy before migration.
- Integrated Spark-based hourly recovery processes for fault tolerance.
- Optimized throughput by removing metadata enrichment from the ad-serving critical path.
Decoder
- Flink: A framework and distributed processing engine for stateful computations over data streams.
- Stateful stream processing: Computing where the system remembers information from previous events to process future ones, unlike stateless systems that treat every event in isolation.
Original article
Netflix rebuilt its live ads event pipeline on Apache Flink, moving metadata enrichment out of the ad-serving critical path and into stateful streaming joins. The design handles region-aware routing, late events, hourly Spark recovery, best-effort deduplication, and dual-run validation that reached over 99.99% agreement before the legacy system was retired.
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