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Core
KEDA event-driven scaling: activation, HPA decisions and queue recovery
Understand KEDA ScaledObjects, activation thresholds and HPA ownership. Calculate a queue-based replica target and diagnose missing metrics, cold starts and downstream limits.
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RELATED CONCEPTS
PRACTICE THIS IN REAL QUESTIONS
Containers & KubernetesHPA and VPA on the same deployment: why is that a problem, and what should you run instead?→Containers & KubernetesCPU metrics lag demand by minutes because traffic arrives as queue depth. How should autoscaling react to events?→Cloud Platforms & ArchitectureYour service autoscales on CPU and still falls over during traffic spikes. Why, and what would you scale on instead?→DevOps System Design & ArchitectureAn e-commerce platform takes 10x traffic during flash sales and the database locks up. Fix it.→Containers & KubernetesThe HPA shows a CPU number. Trace it from the container to the scaling decision, and tell me where that number lies.→Incident Response & Production DebuggingThe cluster adds four nodes and removes them again every ten minutes, all night, with flat traffic. Stop it.→