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Join Cheng, an engineer from the Online Data Stores team at Netflix, for a deep dive into the company's massive Apache Cassandra footprint and the innovations required to support the rapidly growing Netflix Live Events business. Cassandra is one of Netflix's biggest and oldest databases, supporting core streaming services and newer initiatives like live events, games, and ads. The Live Event Challenge Unlike Netflix's highly predictable static traffic, live events create bursty and spiky traffic that requires significant pre-scaling of the Cassandra fleet to absorb the elevated load. The manual process of pre-scaling was cross-functional, time-consuming (taking at least a week), and prone to human error, risking either expensive overscaling or performance-impacting underscaling. The Automated Solution: "Live as Normal Business" To solve this, Netflix built an end-to-end automated workflow using Temporal to glue five key innovations together: Moment Store: Stores live event metadata and most importantly, the projected traffic for an event. Workload Fact Store: A catalog service that identifies which of the 2,500+ clusters are on the live critical path (using tiers and business domains) and need to be scaled. Capacity Planner: Translates the forecasted live traffic (e.g., "2x more traffic") into the desired cluster size/shape and determines if scaling is needed. Centralized Fleet Management: Automates the process of reserving massive capacity from AWS weeks ahead of time for large-scale events. Orchestration Workflow (Temporal): Schedules and automates the scale-up and scale-down processes, ensuring there is no human toil or manual coordination. This automation now allows Netflix to treat live events as "normal business," yielding high resilience and significant cost savings.