Azure Kubernetes Service (AKS) networking involves understanding various network topologies and models, such as Kubenet and Azure CNI, to ensure efficient and secure connectivity for containerized applications. The article provides a comprehensive guide on different networking options, best practices, and real-world scenarios, emphasizing the importance of proper IP management and cluster configurations. It also highlights the transition from Kubenet to Azure CNI due to upcoming changes in service support.

Multitenant logging in Container Insights allows customers using AKS to segregate container logs by different teams, enabling each team to access logs from their specific Kubernetes namespaces and manage billing in separate Log Analytics workspaces. The article outlines the scenarios supported, how to configure multitenancy using Data Collection Rules (DCRs), and steps for onboarding and managing these settings in an AKS cluster.

A comprehensive guide for deploying AI models using vLLM on Azure Kubernetes Service (AKS) with NVIDIA H100 GPUs and Multi-Instance GPU (MIG) technology is provided. It outlines the necessary prerequisites, steps for infrastructure creation, GPU component installation, and model deployment, enabling efficient utilization of resources and cost savings through hardware isolation.