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Azure is a cloud computing platform provided by Microsoft, offering a range of services such as virtual machines, databases, analytics, and more. It enables businesses to build.
Generative AI autonomously creates diverse content like images, music, and text by learning patterns from data. It's applied in art, design, gaming, and content generation.
Scripting automates tasks with sequences of commands, while automation executes them without human intervention, enhancing productivity and reducing errors, vital in software, system admin, and data analysis.
As a follow up to my previous post: Using AI to analyze Azure Firewall logs with autonomous agent workflows without human interaction in Azure Logic
Those who have followed my blog will know that I’ve used Logic Apps extensively for many of my explorations of automating tasks so I’ve been
Those who have worked with an Azure Firewall will know that there isn’t an easy way to export all the firewall rules from the GUI
One of the topics I’ve had to explain frequently in the past with colleagues and clients is how Azure routing works so I’ve been meaning
Those who have been working with the Power Platform (e.g. Power BI, Power Automate) would be familiar with the On-premises data gateway deployment that is
As a continuation of my previous post: Creating an Automation Account with a script that will return expiring and expired passwords of Entra ID accounts
This post serves as the first of two where I will demonstrate how to use a combination of an Automation Account Runbook and a Logic
I’ve recently been working on an Automation Account Runbook that uses PowerShell 7.2 to execute Connect-MgGraph -Identity to use the Automation Account’s managed identity to
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