I am excited to announce the release of my new book, Build and Deploy Apps using Azure Developer CLI, a practical, hands-on guide for developers and teams who want to streamline cloud-native application deployments on Microsoft Azure using the Azure Developer CLI...
Naming resources in Azure shouldn’t feel like deciphering ancient hieroglyphics. Yet, without a solid standard, names can quickly become inconsistent, confusing, and downright chaotic. The result? A messy Azure environment that’s hard to search, manage, and govern....
There’s no denying the massive wave of excitement around Agentic AI, Multi-Agent Systems, Generative AI, and Large Language Models (LLMs). Whether it's people experimenting with Copilots, implementing RAG (Retrieval-Augmented Generation) patterns, spinning up AI...
Docker has long been the dominant container engine, but it's not the only one. After all, Kubernetes moved away from Docker several years ago to a...
Generative AI has revolutionized how we interact with and generate text-based content, but its capabilities are significantly enhanced when paired...
Artificial Intelligence (AI) has rapidly become an integral part of modern society, influencing everything from job recruitment to healthcare and...
Awhile back I wrote about how you can run your own local ChatGPT experience for free using Ollama and OpenWebUI with support for LLMs like DeepSeek...
The recent release of DeepSeek's R1 model has sent ripples across the global technology landscape, sparking intense discussions about its disruptive...
As developers and organizations increasingly adopt cloud solutions, streamlining the deployment of applications and infrastructure becomes a...
Artificial Intelligence (AI) continues to permeate our daily lives, but the way we interact with these systems remains an evolving landscape. In a...
In a world where cyber threats are evolving faster than ever, the need for robust, proactive, and future-focused security measures has never been...
Intelligent multi-agent AI systems stand out as a robust solution for solving problems requiring modularity, scalability, and specialized expertise....
Microsoft Fabric and Azure Service Fabric share the term “Fabric” but serve different purposes. Microsoft Fabric is a unified data platform for analytics and integration, while Azure Service Fabric focuses on managing scalable microservices applications. Despite the shared name, they cater to distinct audiences and functionalities within the Microsoft ecosystem.
Securing network environments in Microsoft Azure is paramount when organizations migrate their infrastructure and applications to the cloud. Azure,...
Azure Cosmos DB is Microsoft's globally distributed, multi-model database service designed to meet the demands of large-scale, low-latency...
Whether you're a Site Reliability Engineer (SRE), Cloud Engineer, or IT Admin, you will be required to spin up, configure, and manage all sorts of...
Migrating an Azure Virtual Machine (VM) from one Azure Region to another can be necessary for several reasons, including disaster recovery,...
Functions in HashiCorp Terraform are integral to making your configurations flexible, efficient, and maintainable. They are pre-defined operations...
What's the difference between HashiCorp's Terraform and OpenTofu? This is a tale that starts with HashiCorp first developing Terraform, the popular...
Chances are you or your manager thinks you're doing DevOps. But what if you're doing it wrong? Do you really know what DevOps is? After all, you...
One of the core strengths of Terraform is its rich set of built-in functions, which empower users to create flexible and reusable configurations....