Session
From Reactive to Proactive: Forecast-Driven Scaling for Kubernetes
Picture this: you’re already using Karpenter to scale nodes and KEDA to scale workloads, now what? How do you know you’re getting the most out of both? In this talk, we will go beyond day-1 setup into day-2 operations - practical troubleshooting, cost optimization, and efficiency patterns that make autoscaling boringly reliable.
We’ll dive into advanced Karpenter strategies including Node Disruption Budgets, consolidation techniques to eliminate waste, NodeOverlays for specialized configurations, optimizing node bootstrap, and techniques for influencing pod scheduling. On the KEDA side, discover how to choose the right metrics and triggers, further optimise that using scaling modifiers to fine-tune the behaviour, and how to shift from reactive scaling to predictive workload sizing that anticipates demand.
This session delivers practical patterns and battle-tested techniques for running KEDA and Karpenter successfully in production.
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