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Estimating and Managing Pod Spread in AKS

Joji Varghese talks pod distribution in Azure Kubernetes Service:

In Azure Kubernetes Service (AKS), the concept of pod spread is important to ensure that pods are distributed efficiently across nodes in a cluster. This helps to optimize resource utilization, increase application performance, and maintain high availability.

This article outlines a decision-making process for estimating the number of Pods running on an AKS cluster. We will look at pod distribution across designated node pools, distribution based on pod-to-pod dependencies and distribution where pod or node affinities are not specified. Finally, we explore the impact of pod spread on scaling using replicas and the role of the Horizontal Pod Autoscaler (HPA). We will close with a test run of all the above scenarios.

Read on for tips, as well as a few web tools, which you can use to estimate and control pod spread in AKS.