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Learn how to implement advanced autoscaling for Spring Boot applications in Kubernetes using KEDA (Kubernetes-based Event Driven Autoscaling) in this 29-minute conference talk from CNCF. Discover the limitations of Kubernetes' built-in Horizontal Pod Autoscaler (HPA) which only monitors basic CPU and memory metrics, and explore how KEDA provides a comprehensive solution with extensive scaling options. Understand how to leverage Prometheus metrics integration and Micrometer, an open-source metrics facade that seamlessly integrates with Spring Boot applications. Master the process of exposing custom application metrics in Prometheus-compatible formats by adding a single dependency to your Spring Boot project. Gain practical insights into combining KEDA, Prometheus, and Micrometer to create sophisticated autoscaling strategies based on any application metric you choose, enabling more intelligent and responsive scaling behavior for your Kubernetes workloads.
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