Capacity management and autoscaling in Azure Kubernetes Service (AKS) are crucial components in ensuring that your Kubernetes cluster remains responsive, cost-efficient, and scalable to meet varying workloads.
Managing these elements effectively requires a holistic approach that integrates considerations from both the Kubernetes layer (application-focused) and the underlying cloud platform layer (infrastructure-focused).
This article delves into the key aspects of Kubernetes capacity management and autoscaling, offering insights into best practices and strategic decision-making to optimize your AKS environment.

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