Azure Weekly

Issue 572

26th July 2026

A last minute holiday meant that I couldn't do the newsletter last week, so it's a bumper edition. As ever, if you want a better reading experience for such a long newsletter (275 articles!), have a look at the web edition.

My highlights are as follows:

Finally, something we've been working on for the last few years: Rx.NET v7.0 Now Available by Ian Griffiths - Rx.NET v7.0 reduces self-contained deployment size by up to 90 MB and separates UI framework support into distinct NuGet packages, addressing a long-standing issue with Windows-specific projects. This is a big win if you want to include Rx as part of your cloud projects.

🤖 AI

🔎 Analytics

🖥️ Compute

🚢 Containers

🗄️ Databases

🛠️ Developer tools

🔩 DevOps

  • Optimizing GitHub Copilot Cost in the Usage-Based Billing Era Optimizing GitHub Copilot cost involves selecting appropriate models, limiting token usage through context windows and session length, implementing budget controls, and adopting a tiered pricing strategy to balance productivity with financial management.
  • Distributing Bicep Modules with Token-Based Access Using ACR Bicep 0.45.6 adds ociEnabled for token-based module distribution to Azure Container Registry with ORAS and Docker credentials, simplifying management for MSPs and platform teams.
  • I let AI build my API. Here’s what happened (building an app with an AI LLM, part four) Grant Fritchey uses AI tools to develop a secure REST API linking a PostgreSQL database on Azure with an upcoming WordPress frontend while documenting successes and challenges.
  • Exporting Every Availability Test URL from a Subscription with PowerShell The PowerShell script extracts and deduplicates ping target URLs from Azure Application Insights availability tests for easy CSV export, aiding preparation for new URL ping testing costs.
  • Load testing Copilot Studio agents with Locust and Azure Load Testing Load testing Copilot Studio agents with Locust and Azure Load Testing shows successful operation under heavy use, with one turn taking up to 8.68 seconds to reply and 163.71 seconds to finish, emphasizing the need to measure both scaling capacity and component performance for reliable conversational AI deployments.
  • Public Preview: Advanced platform metrics in Azure Monitor Advanced platform metrics in Azure Monitor now offer detailed insights into performance, resource health, and operational trends for all supported Azure services starting July 15, 2026.
  • GitHub for Beginners: Your roadmap to mastering the GitHub essentials GitHub for Beginners provides a concise roadmap covering version control basics, secure account setup with two-factor authentication, and essential Git commands to help readers confidently navigate repositories, collaborate on projects, and contribute to open source.
  • Monitoring GitHub Copilot at Scale with OpenTelemetry (OTLP) and Grafana This guide shows how to use OpenTelemetry and Grafana to monitor GitHub Copilot at scale for tracking AI adoption, latency, token usage, and costs.
  • Adding Observability with OpenTelemetry and Application Insights This guide demonstrates integrating OpenTelemetry with Azure Application Insights to monitor AI call behavior, manually initiate custom activities for enhanced telemetry, and analyze token usage metrics using KQL.
  • Logging Prompts and Responses for Auditing and Debugging Turning on sensitive data capture logs full prompts and model responses alongside telemetry enables robust debugging and compliance but raises privacy risks and logging costs that must be carefully managed.
  • The AI-Native Software Development Lifecycle: A Practical Guide for Developers, Leads, and Architects The AI-Native SLD focuses on managing challenges such as defining accurate problems, providing reliable context, controlling agent behavior, and ensuring safety and correctness as generative AI speeds up code production.
  • Use GitHub Agentic Workflows to test Bicep deployments This article shows how to use GitHub Agentic Workflows and Azure tools such as Bicep, PowerShell, and the Entsoe Transparency Platform to automatically test Azure deployments for sustainability, optimize region selection based on energy mix and latency, and ensure compliance with best practices.
  • Production-ready, AI-assisted Development and Workflows The Pluralsight course covers ensuring AI-generated code is secure, resilient, observable, and cost-effective by integrating AI coding assistants with human oversight.
  • Keep the gains: performance regression testing without fooling yourself Keep only benchmarks that protect critical hot paths, use baseline/diff comparisons with clear thresholds, and avoid relying on noisy shared runners to reliably catch performance regressions without false positives or negatives.
  • Developing with AI Exposes Your Bottlenecks Developing with AI can shift bottlenecks from coding to other process stages like code review or testing if those steps remain unchanged, according to the Theory of Constraints.
  • Logging & OpenTelemetry in MAF Logging and OpenTelemetry in the Multi-Agent Framework improve debugging, performance monitoring, and audit trails, enhancing observability and system efficiency.
  • Activity Source in Microsoft Agent Framework The integration of OpenTelemetry into the Microsoft Agent Framework enhances observability through unified task tracking, automatic metric instrumentation, and seamless trace shipping to Azure AI Foundry for comprehensive performance analysis.
  • July Patches for Azure DevOps Server July’s patches for Azure DevOps Server include updates to the main product and a specific patch for the 2022.2 version, both aimed at enhancing security and fixing critical issues.
  • How to Run Coding Agents Safely Inside CI/CD Pipelines Implement a safe CI/CD architecture by treating agent output as untrusted, using ephemeral sandboxes, granting read-only repo access, and separating the agent sandbox from a clean verification runner.

🧬 Hybrid + multicloud

🎭 Identity

🔌 Integration

💡 Internet of Things

  • Azure IoT Edge 1.6 LTS is now available Azure IoT Edge 1.6 LTS supports .NET 10 until November 14, 2028, providing a clear upgrade path from the earlier 1.5 LTS version that ends support on November 10, 2026, with updated deployment instructions for seamless migration.

🎓 Learning and Certifications

⚖️ Management and Governance

🚌 Migration

🌐 Networking

🔐 Security

📦 Storage

💻 Virtual Desktop Infrastructure

🔗 Web

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