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AKS Network Policies: The Security Layer Your Cluster Is Missing

AKS Network Policies: The Security Layer Your Cluster Is Missing

Network segmentation is a fundamental security control for modern Kubernetes environments. AKS supports multiple networking models such as kubenet, Azure CNI, and overlay CNIs. The networking model matters, but the decisive factor for enforcing isolation and compliance is the consistent application of network policies.

This article describes how network policies work in AKS, the available engines, practical examples, and recommended practices for enforcing a zero-trust posture within a cluster.

.NET Job Scheduling — Coravel and Fluent Simplicity

.NET Job Scheduling — Coravel and Fluent Simplicity

Coravel prioritizes developer velocity with fluent APIs, zero infrastructure, and integrated features like queuing and caching. Understand when convenience and rapid iteration trump persistence and clustering for practical application development.
AKS Networking Clash: kubenet vs. CNI vs. CNI Overlay

AKS Networking Clash: kubenet vs. CNI vs. CNI Overlay

Selecting the right network model is arguably one of the most critical architectural decisions you will make when deploying a Kubernetes cluster on Azure Kubernetes Service (AKS). This choice ripples through nearly every aspect of your cluster’s lifecycle, influencing how pods communicate, how efficiently you use your IP address space, which Azure services integrate seamlessly with your workloads, and ultimately, how well your infrastructure scales to meet future demands. It affects scalability, security posture, operational cost, performance characteristics, available integration options, and your long-term operational flexibility.

.NET Job Scheduling — Quartz.NET for Enterprise Scale

.NET Job Scheduling — Quartz.NET for Enterprise Scale

Quartz.NET provides advanced scheduling semantics, database-backed clustering, and flexible storage for systems demanding complex workflows. Understand when enterprise features justify operational complexity and how Quartz.NET scales across distributed deployments.