Kubernetes and Container Orchestration

Kubernetes has become the de facto standard for container orchestration, providing powerful abstractions for deploying, scaling, and managing containerized applications across distributed infrastructure. This collection explores the practical realities of working with Kubernetes in production environments, including managed services like Azure Kubernetes Service (AKS) and self-hosted clusters.

The articles examine core Kubernetes concepts such as pods, deployments, services, and ingress controllers, while addressing common challenges around networking, storage, security, and observability. Topics include cluster configuration, resource management, service mesh integration, and the operational complexity that comes with adopting Kubernetes.

Beyond basic deployment scenarios, the content investigates real-world troubleshooting, performance optimization, and architectural decisions teams face when building systems on Kubernetes. The focus remains on understanding when Kubernetes adds value and how to navigate its steep learning curve effectively.

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.