Smart Autoscaling for Kubernetes: From Reactive to Predictive Scaling

Join Zbynek Roubalik, Founder & CTO at Kedify, for a live technical session on building intelligent, efficient autoscaling for Kubernetes. Learn how to move beyond traditional CPU and memory scaling to smarter, proactive strategies that adapt to real-world traffic and events.

This hands-on walkthrough will combine practical demos and real-world examples to show how Kedify, built on top of KEDA, can significantly reduce cloud costs while maintaining top performance.

What You’ll Learn

• Custom metrics and event-driven scaling: Implement advanced autoscaling strategies including seamless scale-to-zero without losing traffic
• Beyond reactive scaling: Understand why CPU and memory-based scaling is reactive and often inefficient
• Universal workload scaling: Scale any type of workload, from REST APIs and microservices to event-driven systems, LLM inference, and GPU intensive workloads
• Predictive autoscaling: Apply time-series forecasting to scale before load spikes occur
• Multi-cluster strategies: Explore multi-cluster scaling and emerging trends in cloud cost optimization
• HTTP-based autoscaling: Modern approaches to scaling based on HTTP request patterns and traffic metrics

This session combines practical demonstrations with real-world insights to help you build more intelligent, cost-effective autoscaling solutions for your Kubernetes environments.

Reduce cloud costs and complexity.

Start autoscaling with KEDA today.

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