Delivery Hero migrated its ad measurement pipeline from a legacy batch-oriented system to a real-time architecture using Amazon Managed Service for Apache Flink. The transition reduced processing latency from 61 minutes to 1.2 seconds and decreased infrastructure costs by 57% while improving data quality for billing and attribution.
The shift to sub-second measurement allows Delivery Hero to execute budget pacing and ad serving based on immediate consumer behavior rather than hour-old data. By solving the technical debt of synchronous API calls and batch processing, the platform now maintains high-fidelity session data that was previously lost in 40% of events. This architecture demonstrates that massive-scale streaming platforms can achieve exactly-once billing accuracy without the overhead of self-managed Kubernetes clusters. As the industry moves toward more granular attribution, watch for Delivery Hero to integrate these real-time Flink aggregations directly into AI-driven personalization and LLM-based recommendation engines.
The move toward real-time data processing is becoming a standard for major platforms looking to optimize cross-channel measurement and reduce wasted ad spend. As these systems evolve, FAST channel workflow orchestration is also helping providers scale their linear operations through standardized signaling, while enterprises shift private 5G architectures to metro edge data centers to further reduce latency. For companies looking to optimize content discovery, Condé Nast video discovery time has also seen significant improvements through similar AI-driven infrastructure, a trend further supported by data-driven streaming models gaining traction across the industry.
Delivery Hero has transitioned its ad measurement pipeline from hourly batch processing to a real-time architecture using Amazon Managed Service for Apache Flink. This migration reduced processing latency from 61 minutes to 1.2 seconds, improved data quality, and cut infrastructure costs by 57% for the company's advertising business.
Delivery Hero reduced its ad measurement latency from 61 minutes to just 1.2 seconds.
The company rebuilt its pipeline using Amazon Managed Service for Apache Flink, integrated with Amazon Kinesis Data Streams and DynamoDB.
The migration to the new real-time architecture resulted in a 57% reduction in infrastructure costs.
Yes, the new pipeline significantly improved data quality, reducing missing impression timestamps from 91% to 0.2%.
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