“Knowing that Azure changed is useful. Knowing that Azure is currently having a bad day — and getting that information to the right people — is operationally necessary.” https://www.youtube.com/watch?v=q13uVX0jBMs In my last CloudLens article, From RSS Scraper to MCP-Powered Radar, I wrote about how the project evolved from a slightly overconfident RSS scraper into a proper… Continue reading From Radar to Response: How CloudLens Learned to Deliver Azure Service Health into Teams
Tag: cloud
Building a Serverless AI Agent on Azure Functions – with Nothing but a Markdown File
A hands-on walkthrough of the Azure Functions serverless agents runtime (public preview, announced at Microsoft Build 2026). We build a tiny "Cloud Study Buddy" agent, deploy it to a real Azure subscription with azd, and test it end to end — documenting every command, every gotcha, and every fix along the way. What was announced, and why it matters… Continue reading Building a Serverless AI Agent on Azure Functions – with Nothing but a Markdown File
From RSS Scraper to MCP-Powered Radar: How AzRadar Grew Up
"Never be blindsided by an Azure change again." A quick recap (a.k.a. the embarrassing prequel) Back in September 2024 I shared a humble little proof-of-concept: an Azure Container Instance that read the Azure Updates RSS feed, asked GPT-4o to make sense of it, and dropped the result into a Storage Account. It was honest work. It also looked… Continue reading From RSS Scraper to MCP-Powered Radar: How AzRadar Grew Up
Observability Unleashed: OpenTelemetry in Azure Functions with Go
In the evolving landscape of serverless computing, observability has become paramount for building reliable, scalable applications. This article explores how to implement OpenTelemetry (OTel) in Azure Functions using the new Flex Consumption plan with Go custom handlers, providing comprehensive telemetry data through Azure Monitor's Data Collection Endpoint (DCE) and Data Collection Rule (DCR). What is… Continue reading Observability Unleashed: OpenTelemetry in Azure Functions with Go
Implementing RAG with WebRTC and Azure AI Search
This feature is currently in public preview. This preview is provided without a service-level agreement, and we don't recommend it for production workloads. Certain features might not be supported or might have constrained capabilities. Introduction In today's enterprise environment, accessing and leveraging organizational knowledge through natural conversation is becoming increasingly important. Azure OpenAI GPT-4o Realtime… Continue reading Implementing RAG with WebRTC and Azure AI Search
Enhance GitHub Copilot with RAG in VS Code – Part 3
This is a third part of a series of posts where I am writing my learning building a GitHub Copilot extension, RAG, using your own model etc. - First part here- Second part here Introduction Demo Extension in Marketplace As AI continues to revolutionize software development, GitHub Copilot has emerged as a powerful coding assistant.… Continue reading Enhance GitHub Copilot with RAG in VS Code – Part 3
Building GitHub Copilot Extension with Skillset – Part 2
This is a second part of a series of posts where I am writing my learning building a GitHub Copilot extension, RAG, using your own model etc. - First part here- Part 3 here. Introduction: Enhancing GitHub Copilot with Skillsets In the first part of this series, we explored how to extend GitHub Copilot by… Continue reading Building GitHub Copilot Extension with Skillset – Part 2
Building a GitHub Copilot Extension with GitHub Apps – Part 1
This is a first part of a series of posts where I am writing my learning building a GitHub Copilot extension, RAG, using your own model etc. - Second part- Third part Lately, I’ve been working with GitHub Copilot Extensions—powerful integrations that enhance Copilot Chat by connecting it to external tools, services, and custom workflows.… Continue reading Building a GitHub Copilot Extension with GitHub Apps – Part 1
Streamline Azure Lifecycle Management with AI Solutions
Introduction A while ago, I created a proof-of-concept application. It helps LCM (Life Cycle Management for Azure Resources) for a friend of mine. The POC was using all Azure Open AI, Storage Account etc. But the resources where exposed to the internet. Recently, I wanted to update them. I aimed to protect all traffic staying… Continue reading Streamline Azure Lifecycle Management with AI Solutions
AI Powered SLA Calculator from Architecture Diagram
Introduction https://www.youtube.com/watch?v=K-jdXyzrRbE&ab_channel=MoimHossain Designing cloud native application architecture that is resilient requires a careful consideration of many aspects. Availability metrics and Recovery metrics could ease the design process. Microsoft has some decent guidance that describes the recommendations for defining availability and recovery target metrics for critical workloads and flows. Reliability targets are derived through workshop exercises… Continue reading AI Powered SLA Calculator from Architecture Diagram
