The Binlog is Already the Truth: How We Built Event Streaming Infrastructure at Runpod

Runpod encountered challenges with real-time data changes, auditing, and billing due to a lack of historical data in its database, which led to inefficiencies as multiple systems independently polled and interpreted data changes. To address this, Runpod implemented a Change Data Capture (CDC) pipeline leveraging the transactional outbox pattern, enabling systems to emit domain events directly, thus eliminating the need for each consumer to infer meaning from raw data independently. This architecture, powered by two Kinesis streams, significantly improved data latency and accuracy by allowing downstream systems to consume meaningful, schema-validated events rather than raw data. Operational consumers like billing and notifications are transitioning from legacy polling to this new event-driven architecture, which supports both operational and analytical needs. The analytics pipeline, built on AWS Kinesis and Snowflake, automatically aligns with the event schema, preventing schema drift and ensuring real-time data availability. This transformation not only resolves the dual-write problem but also streamlines consumer architecture by using Restate for durable execution, enhancing reliability and reducing overhead. By automating schema updates and maintaining a single source of truth, Runpod's architecture exemplifies a shift towards event-driven infrastructure, fostering more efficient and consistent data processing across systems.

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