🔑 Microsoft says "Ditch passwords!" 🤔 Service Fabric still relevant? 🤖 Unified API for LLMs and more! 🚀

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Microsoft Azure Service Fabric has been a foundational platform for building and managing microservices-based applications since its release. However, with the rise of Kubernetes and other container orchestration tools, its adoption has seen changes over the years. Additionally, Microsoft introduced Microsoft Fabric, a new data and analytics platform, leading to some confusion between the two services. In this article, we will explore what has happened to Azure Service Fabric, whether it is still supported, and how it compares to Microsoft Fabric.

The era of passwords is coming to an end. In December 2024, Microsoft stated they are blocking 7,000 attacks on passwords per second. A number almost double what they saw just one year prior. As a result, Microsoft is advocating enterprises to move away from traditional authentication methods, such as passwords and API keys. These pose significant security risks due to their susceptibility to leaks, theft, and mismanagement. Microsoft encourages enterprises to transition to modern Microsoft Entra ID (formerly Azure Active Directory) powered authentication methods. This move eliminates reliance on static credentials and instead leverages Managed Identities and Service Principals for secure and scalable authentication within Azure services to greatly increase the security of your applications and workloads.

As artificial intelligence continues to evolve, enterprises are increasingly leveraging large language models (LLMs) and even multi-agent systems to drive innovation and efficiency. However, the landscape of LLMs—ranging from OpenAI, Azure OpenAI, Gemini, Llama, Claude, DeepSeek, Microsoft Pi and so many more—often presents challenges in integration and standardization. This is where tools like LiteLLM come into play, providing a unified API layer that streamlines the way organizations interact with multiple LLMs.

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Azure Storage Accounts are a fundamental part of cloud storage in Microsoft Azure, providing various types of storage services such as blobs, files, tables, and queues. Understanding the total size allocated to a storage account and the usage breakdown per service type is crucial for optimizing costs, managing capacity, and ensuring efficient data storage management.

In this article, we’ll explore how to retrieve storage allocation and usage details for an Azure Storage Account using different methods, including PowerShell, Azure CLI, and Kusto Query Language (KQL). By following these steps, you will gain better visibility into your storage consumption and take informed actions to optimize your resources.

Generative AI systems using Large Language Models (LLMs) like GPT-4o process natural language input through a series of computational steps: tokenization, numerical representation, neural processing, and text generation. While these models have achieved impressive performance in understanding and generating text, they sometimes struggle with seemingly simple tasks, such as counting letters in a word. This article provides a detailed breakdown of how an LLM transforms a prompt into a response and why it can struggle with problems like “How many Rs are in ‘strawberry’?”

Microsoft has announced the official retirement of Azure Data Studio on February 28, 2026. This decision marks a significant shift in Microsoft’s approach to database development tools, as users are encouraged to transition to Visual Studio Code (VS Code) with the appropriate extensions for database management and SQL development.

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😱Major Azure Outage in EastUS2, 🚀New AI and Azure Developer CLI Courses, azureedge.net DNS retiring

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Blog | Advertise | View Online Your trusted source for Cloud, AI and DevOps guidance with industry expert Chris Pietschmann! Phi-4: Microsoft's New Small Language Model Outperforms Giants in AI

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