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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.
Azure Firewall Logs are something I work with often, and troubleshooting them well starts with reviewing them carefully. Being a team lead who is also
WAF Managed Rules Exclusions are something my recent project has gotten me to take part in much of the hands on work for, along with
Logic App AI Agent output that gets truncated has been a frustrating problem to solve. As a follow up to my previous post: Using AI
A Conversational AI Agent RAG setup is what I wanted to build this time. As I continue to explore creating AI-powered automation with Logic App,
AI Analyze Azure Firewall Logs with a conversational agent is what I tried next. As a follow up to my previous post: Using AI to
Autonomous Agent Firewall Logs reporting is what I set out to build this month. Those who have followed my blog will know that I’ve used
Azure Firewall Rules Export is something those who have worked with an Azure Firewall will know isn’t easy to do from the GUI, and trying
Hub and Spoke Subnet Routing is one of the topics I’ve had to explain frequently in the past with colleagues and clients since Azure routing
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