Date: December 9, 2025
Time: 9 a.m. PST | 5 p.m. GMT | 6 p.m. CET
Length: 50 minutes + Q&A

Join Zbynek Roubalik, founder and 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 session combines practical demos and real-world examples to show how Kedify, built on top of KEDA, can significantly reduce cloud costs while maintaining top performance.

You’ll learn how to:

• Implement custom metrics, event-driven and HTTP-based autoscaling, and seamless scale-to-zero without losing traffic.
• Understand why CPU and memory-based scaling is reactive and often inefficient.
• Scale any type of workload, from REST APIs and microservices to event-driven systems, LLM inference, and GPU-intensive workloads.
• Apply predictive autoscaling with time-series forecasting to scale before load spikes occur.
• Explore multi-cluster scaling and emerging trends in cloud cost optimization.

Register for the live session using the form. You can also start building now with the Kedify HTTP Autoscaling learning path — the same workflow we’ll explore live in the session.