Scale before it hurts: KEDA for data-intensive apps#
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Scaling workloads in response to demand spikes is no longer enough—you need to stay ahead of the curve. In this talk, we’ll explore how KEDA enables predictive, event-driven scaling to handle large and unpredictable data loads efficiently. We’ll showcase a real-world use case: building a Data Fabric solution for data processing and aggregation, where services ingest massive amounts of data asynchronously via Kafka queues. Using KEDA, we dynamically scale resources, adapting predictively to the flow of incoming data from the source, ensuring optimal performance and cost efficiency. Join us to see how KEDA takes auto-scaling from reactive to predictive—keeping your data pipelines fast, efficient, and always ahead of demand.
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