Storage

Configuring archive period for tables at Mass for Data Retention within Log Analytics Workspace

How does this Blog help in Configuring archive period for tables at Mass for Data Retention in Log Analytics Workspace: Simplified Data Archival: Implementing archival within Log Analytics Workspace provides a straightforward and integrated solution for retaining log data over extended periods. This ensures compliance with regulatory requirements, making it easier for organizations to meet […]

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Azure AI Search now supports AI Vision multimodal and AI Studio embedding models

Keeping pace with AI representation learning requires continuous integration and adaptation to new advancements. In line with this, we’re excited to announce new updates to Azure AI Search‘s integrated vectorization (preview) feature. It now supports native multimodal search capabilities, that seamlessly manage both text and images during indexing and querying. Moreover, we’ve incorporated support for

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First Issuance manual, with automated renewals

Hey all Rob Greene again. Seems like I have been on this PKI kick lately, and today is not going to be any different. Occasionally, I will get a customer who must get certificates issued for things like Web sites, and they must have custom Subject Alternative Name (SAN) DNS values on the issued certificate. 

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Azure Portal collapsed service menus #azure #portal #ui #ux

Recently the menu structure in Azure is changed into a collapsed and expanded menu, Don’t know who thought it was the best option to have all the blades in collapsed mode. one word #annoying for me Collapsing menus, also known as accordion menus, are a popular design choice in many web applications, including Microsoft Azure.

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Finetune Small Language Model (SLM) Phi-3 using Azure Machine Learning

Motivations for Small Language Models: Efficiency: SLMs are computationally more efficient, requiring less memory and storage, and can operate faster due to fewer parameters to process. Cost: Training and deploying SLMs is less expensive, making them accessible to a wider range of businesses and suitable for applications in edge computing. Customizability: SLMs are more adaptable

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Security above all else—expanding Microsoft’s Secure Future Initiative

Last November, we launched the Secure Future Initiative (SFI) to prepare for the increasing scale and high stakes of cyberattacks. SFI brings together every part of Microsoft to advance cybersecurity protection across our company and products. Since then, the threat landscape has continued to rapidly evolve, and we have learned a lot. The recent findings

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Unlocking the Potential: The Benefits and Requirements of a Vector Database

Generative AI is revolutionizing our interaction with data, enabling dynamic new ways to engage with information—from conversational interfaces to generating content like code snippets or summaries. Vector databases, particularly pivotal in this evolution, play a critical role in enabling these sophisticated interactions. Understanding the value of vector databases  Vector databases are responsible for advanced data

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“Dirty stream” attack: Discovering and mitigating a common vulnerability pattern in Android apps

Microsoft discovered a path traversal-affiliated vulnerability pattern in multiple popular Android applications that could enable a malicious application to overwrite files in the vulnerable application’s home directory. The implications of this vulnerability pattern include arbitrary code execution and token theft, depending on an application’s implementation. Arbitrary code execution can provide a threat actor with full

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Bringing GenAI Offline: running SLM’s like Phi-2/Phi-3 and Whisper Models on Mobile Devices

In today’s digitally interconnected landscape, language models stand at the forefront of technological innovation, reshaping the way we engage with various platforms and applications. These sophisticated algorithms have become indispensable tools in tasks ranging from text generation to natural language processing, driving efficiency and productivity across diverse sectors. Yet, the reliance on cloud-based solutions presents

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Demystifying Azure Open AI for App developers

Co-Authors (Prakash, Prabhjot) The purpose of this blog is to cover the concepts related to Azure Open AI in an easy-to-understand concise format for anyone with no or limited ML background. Let’s begin by understanding the fundamental components of Azure OpenAI solutions, their tools, and patterns, and explore how they are distinct from Azure OpenAI

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