Kubernetes Autoscaling: From Resources to Events, HTTP, and GPUs - Zbyněk Roubalik
Автор: Cloud Native Prague
Загружено: 2025-12-15
Просмотров: 14
Autoscaling is at the heart of running efficient, resilient, and cost-effective workloads on Kubernetes, yet getting it right is often harder than it seems. In this session, we’ll explore the spectrum of autoscaling approaches, from resource-driven (CPU/memory) to event- and HTTP-driven scaling, and even GPU-aware scenarios. We’ll dive into what’s new in KEDA, how it extends Kubernetes autoscaling beyond traditional metrics, and share practical best practices drawn from real-world experience.
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