Azure Cloud Platform and Services

Microsoft Azure is a comprehensive cloud platform providing infrastructure, platform, and software services for building modern applications. This collection covers Azure services, deployment patterns, cost optimization, and practical cloud architecture decisions for organizations adopting Azure.

Azure Services and Strategic Use

Azure encompasses hundreds of services spanning compute, storage, networking, databases, AI/ML, integration, and analytics. Effective cloud architects understand not just what services exist, but when to use them and when alternatives are more appropriate.

Compute Services range from virtual machines for lift-and-shift migrations, to App Service for web applications, to container services and serverless options. The choice depends on workload characteristics, team expertise, and operational requirements.

Data Services include relational databases, NoSQL options, data warehousing, and analytics platforms. Each makes specific trade-offs about consistency, scalability, query patterns, and operational complexity.

Integration and Messaging services connect applications, enable asynchronous workflows, and support event-driven architectures.

Cloud Adoption and Operations

Articles in this section cover Azure service selection, infrastructure as code with Bicep and Terraform, cost management strategies, security and compliance, and operational patterns for production Azure workloads. Topics include migration strategies, hybrid scenarios, and designing for Azure’s specific capabilities.

The emphasis remains practical: understanding Azure options, making informed architectural choices, and avoiding vendor lock-in decisions made without deliberation.

Why ISO Standards Actually Matter for .NET Developers

Why ISO Standards Actually Matter for .NET Developers

Cloud-native .NET development has transformed ISO/IEC 27001, 27017, and 27701 from abstract compliance requirements into concrete daily coding decisions. This guide shows .NET developers how security standards directly map to Azure Key Vault integration, Azure AD authentication, and proper logging—with real code examples demonstrating compliant vs. non-compliant implementations.
Pod Identity & Access Control in AKS: What Actually Breaks

Pod Identity & Access Control in AKS: What Actually Breaks

Traditional AKS authentication relied on service principals and mounted secrets. Workload Identity Federation eliminates credential lifecycle problems, but introduces new failure modes. This article covers the operational realities: where credentials still leak, how RBAC layers compound across Kubernetes and Azure, and validation patterns that prevent identity failures in production.
AKS Architecture & Operations — The Complete Series

AKS Architecture & Operations — The Complete Series

AKS documentation gets you to a running cluster. It does not tell you which storage class destroys your stateful workload during a node pool replacement, why your 300-node upgrade caused cascading evictions when the 50-node one was fine, or where Workload Identity Federation fails silently in production. This series covers nine architectural domains — identity, storage, cost, networking, upgrades, registry security, disaster recovery, hybrid operations, and scale — with the specificity that matters when something breaks at 2 AM.
AKS Network Policies: Missing Security Layer

AKS Network Policies: Missing Security Layer

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: kubenet vs. CNI vs. CNI Overlay

AKS Networking: 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.