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Lightning Talk: Predictive Autoscaling in Kubernetes With KEDA and Prophet - Snigdha Kanchana, IBM

This session focuses on enhancing Kubernetes autoscaling by integrating *KEDA* (Kubernetes Event-Driven Autoscaling) with **Prophet**, a time-series forecasting tool. Traditional Kubernetes autoscaling reacts to current resource metrics like CPU and memory, while predictive autoscaling anticipates future workload demands using historical data. By combining Prophet with KEDA, Kubernetes can proactively scale resources before traffic spikes, ensuring better performance and optimized resource usage.

Attendees will learn how to implement predictive autoscaling with KEDA and Prophet to improve efficiency, reduce latency, and manage resources proactively. This approach helps handle fluctuating workloads, enhancing system reliability and providing a seamless user experience.

Ideal for cloud architects, Kubernetes admins, and DevOps professionals, this session provides actionable insights to automate scaling strategies and improve cost efficiency in cloud-native environments.