Cloud Computing and Cloud Architecture

Cloud computing has fundamentally transformed how modern applications are designed, deployed, and operated. This collection examines the practical aspects of building and running systems in cloud environments, including major platforms like Microsoft Azure, Amazon Web Services, and hybrid cloud scenarios that combine on-premises and cloud infrastructure.

The articles cover cloud-native architecture patterns, infrastructure as code, containerization, serverless computing, and the operational challenges teams face when migrating to or optimizing cloud workloads. Topics include cost management, security considerations, resilience patterns, and the trade-offs inherent in different cloud service models from IaaS to PaaS and SaaS.

Rather than focusing on vendor-specific features in isolation, the content explores how cloud technologies integrate into real-world development workflows, DevOps practices, and the broader software delivery pipeline. The emphasis remains on practical decision-making that considers both technical capabilities and organizational constraints.

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.

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.