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6-7 August
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Wednesday August 6, 2025 5:23pm - 5:28pm IST
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.
Speakers
avatar for Snigdha Kanchana

Snigdha Kanchana

Cloud SRE & DevOps Engineer, IBM
I’m a Cloud Site Reliability Engineer at IBM, specializing in DevOps, cloud computing, and automation with expertise in Kubernetes, Terraform, ArgoCD, CI/CD pipelines, observability, and cloud security. Previously, I worked as a DevOps Engineer at NCR Corporation, optimizing cloud... Read More →
Wednesday August 6, 2025 5:23pm - 5:28pm IST
Hall 3

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