Azure Weekly

Issue 567

14th June 2026

A quieter week after the deluge of BUILD announcements; the edition contains plenty of community content! The big news this week was that Fable 5 was released by Anthropic, only to be suspended by the US Government a few days later. I did manage to use it for a couple of days to tackle some complex coding problems that Opus struggled to complete. I was very impressed by the results, and I hope the issues are resolved soon.

Highlights this week include:

  • ACI Sandboxes: A Glimpse into the Future of Agentic Compute by Dana Cozmei - ACI Sandboxes introduce Direct Virtualization (L1VH) to combine Hyper-V security with container agility, enabling isolated AI agent environments that can launch 10,000 instances in two seconds for secure, scalable agentic compute.
  • Generally Available: SQL MCP Server by The Azure Updates Team - SQL MCP Server offers secure, high‑performance access to production databases for building agentic applications, supporting both PostgreSQL and Azure Cosmos DB seamlessly.
  • What's new with Postgres at Microsoft, 2026 edition by Claire Giordano - The 2026 update covers major advancements in Azure Database for PostgreSQL flexible server, including Premium SSDv2 storage enhancements for better performance and cost efficiency, as well as new infra‑as‑code deployment options for Elastic Clusters using Terraform, Bicep, and Ansible.
  • Stop wasting time and use Custom Extensions for PIM approvals by Daniel Bradley - Custom extensions in Entra PIM let you automate approval workflows, automatically validate role activations and integrate with ticketing systems to cut manual administrative tasks by up to 40%.
  • What's new in Azure App Service at #MSBuild 2026 by Mayunk Jain - Azure App Service’s #MSBuild 2026 launch introduces an Easy AI experience that lets web apps become AI‑ready instantly, along with Isolated v4 for enhanced security and compliance, Managed Instance for seamless legacy migration, and platform CLI upgrades to streamline deployments—accelerating AI application development.
  • When AI Automates the Joy Out of Work by Adam Bertram - The article explores how AI-driven automation enhances productivity but may diminish the intrinsic satisfaction found in manual technical tasks.

Finally, we're publishing a series of blog posts about the latest version of our high performance, zero allocation JSONSchema library:

  • Introducing Corvus.Text.Json V5: Why V5 Exists by Matthew Adams - Corvus.Text.Json V5 introduces a mutable builder model and pooled memory architecture to dramatically reduce allocation overhead and improve performance in high-throughput .NET applications that process large volumes of JSON data, offering distinct trade‑offs from the immutable V4 engine.

🤖 AI

  • Claude Fable 5 available today in Microsoft Foundry: Powering the next era of autonomous agents
    Claude Fable 5, Anthropic’s newest frontier model, is now accessible via Microsoft Foundry, enabling autonomous agents to tackle complex tasks like code refactoring and deep research synthesis while incorporating strong safety measures for broad enterprise use.
  • Available today: Anthropic Claude Fable 5 in Microsoft 365 Copilot
    Claude Fable 5 in Microsoft 365 Copilot supports longer, multi-step workflows and integrates Work IQ for context‑aware planning, drafting, and iteration across complex tasks within an enterprise‑ready framework.
  • Azure OpenAI Architecture: The Decisions That Actually Matter (Part 1)
    Azure OpenAI’s production architecture hinges on five critical design decisions—capacity model, deployment location, governance layer, grounding strategy, and quota engineering—that determine resilience under variable loads, compliance constraints, and evolving model versions.
  • Azure OpenAI Architecture: The Decisions That Actually Matter (Part 2)
    Azure OpenAI Architecture Part 2 explains how to apply the Azure Well‑Architected Framework's five pillars—Cost Optimization, Security, Reliability, Performance Efficiency, and Operational Excellence—to GenAI workloads, offering best practices for managing model upgrades, Priority Processing trade‑offs, and building a
  • Creating a multi-agent application - Part 1
    Creating a multi-agent application in C# involves designing autonomous agents that collaborate to enhance functionality while requiring careful orchestration to manage complexity and debugging challenges.
  • Creating a multi-agent application - Part 2
    This Python Colab notebook demonstrates building a multi-agent application using LangChain and LangGraph, featuring a Blogger orchestrator, Researcher for web searches, Author to draft posts, and Reviewer for feedback, all integrated with OpenAI's gpt-4o-mini model and Tavily search tool
  • Creating a multi-agent application - Part 3
    This article continues a multi-agent application series by detailing how to define and implement a Research agent template, using Tavily search for data retrieval and an LLM for summarization, following a consistent pattern seen with previous agents like Blogger.
  • The Runtime Is Free Now. The Harness Is the Business.
    Microsoft has turned its formerly restricted open‑source agent runtime OpenClaw into a commodity, focusing instead on standardizing and monetizing the harness that provides identity, access control, approval gates, and data protection features essential for enterprise compliance.
  • Building my own AI cycling coach with Claude and Strava
    Elio Struyf created a custom Claude skill that integrates with the Strava Connector to act as an AI cycling coach, personalizing weekly plans around social rides and strength training based on user preferences and recent activity data.
  • Now in Foundry: Command A+ (W4A4), Chandra OCR 2, and GLM-OCR
    Hugging Face’s Foundry now hosts Cohere Labs’ Command A+ (W4A4), a 218B‑parameter low‑bit quantized reasoning model optimized for agentic tasks across 48 languages; Datalab’s Chandra OCR 2, a 5.3B
  • Transitioning from Azure Language Features to Foundry Models
    Transitioning from Azure Language Features to Foundry Models involves retiring eight capabilities—including Key Phrase Extraction, Entity Linking, and Summarization—by March 2029 (with Entity Linking ending earlier), encouraging teams to adopt Foundry‑based models like Mistral‑Small‑2503 for
  • Turn specs into evals for any agent with ASSERT
    ASSERT turns natural‑language behavior specs into full evaluation pipelines, automatically generating test scenarios, datasets, metrics, and scorecards to ensure AI systems meet product‑specific requirements efficiently and stay up‑to‑date with evolving policies and tools.
  • A new chapter of efficient foundation models for medical imaging
    Microsoft introduces premium, fully managed medical imaging AI models on Foundry, addressing customer needs for scalable, HIPAA‑compliant endpoints and simplified fine‑tuning to support clinical workflows without managing infrastructure.
  • How Machine Learning Fails with Megan Robertson
    Megan Robertson emphasizes setting clear expectations and metrics in ML projects to avoid pitfalls like overfitting test data, stressing the critical role of high-quality datasets and validation techniques for reliable results.
  • Driving Stop-and-Go Business Processes to Closure with Foundry Hosted Agents
    Foundry Hosted Agents enable AI agents to maintain long-term state across weeks of work using per-project sandbox VMs, eliminating the need for external databases and simplifying session handling for complex business workflows like Statement of Work response orchestration.
  • When AI Automates the Joy Out of Work
    The article explores how AI-driven automation enhances productivity but may diminish the intrinsic satisfaction found in manual technical tasks.

🔎 Analytics

🖥️ Compute

🚢 Containers

🗄️ Databases

🛠️ Developer tools

🔩 DevOps

  • Azure Monitor SLIs now Generally Available
    Azure Monitor’s new Service Level Indicators (SLIs) enable organizations to gauge application performance from the end‑user perspective, complementing traditional infrastructure monitoring with metrics like availability and latency that directly reflect customer experience.
  • Azure Monitor Metrics Export Generally Available
    Azure Monitor Metrics Export’s general availability introduces data collection rules for scalable, low-latency export of multidimensional metrics to storage, Event Hubs, or Log Analytics, now supporting 44 regions with improved control over exported data.
  • Announcing the Path to Production for Agents Webinar Series
    The Path to Production for Agents webinar series offers a two‑day deep dive on operationalizing AI agents, covering governance, architecture, security, observability, and cost optimization with expert-led sessions and practical guidance.
  • GitHub availability report: May 2026
    GitHub's monthly availability report for May 2026 details nine incidents causing service disruptions, with a major pull requests outage lasting over an hour due to a database migration overload, and outlines ongoing infrastructure improvements like moving traffic to Azure, isolating services, and enhancing monitoring to prevent future issues.
  • How AI reduce IT team size & where the impact comes from
    AI's biggest impact isn't just automating tasks but streamlining handovers, cutting coordination delays, allowing specialized roles to merge into broader outcome-focused positions.
  • June Patches for Azure DevOps Server
    These June patches for Azure DevOps Server include critical security updates and performance improvements, with the most recent version receiving widespread attention for its enhanced reliability in self‑hosted deployments.
  • Copilot Autofix for GitHub Advanced Security for Azure DevOps
    Copilot Autofix for GitHub Advanced Security in Azure DevOps uses AI to automatically generate fixes for detected vulnerabilities, streamlining remediation within the same development workflow.
  • Review pull requests without leaving Visual Studio
    Visual Studio now lets developers review, comment on, and approve GitHub and Azure DevOps pull requests entirely within the IDE, streamlining collaboration without switching browsers.
  • IT Teams evolution in AI era
    The article explains how AI is transforming IT team structures by reducing handovers between roles, leading to broader responsibilities like Product Discovery Lead, Delivery Manager, and AI-native Solution Architects, ultimately streamlining workflows and improving efficiency.
  • Azure DevOps Pipeline cache issue stopping Dependency Check task
    The Azure DevOps Pipeline cache issue causing the Dependency Check task failure is due to outdated installer files, which can be resolved by manually updating the installer path and ensuring the pipeline runs with sufficient permissions.
  • Copilot Code Reviews for Azure Repos
    Microsoft is launching a limited public preview of GitHub Copilot code reviews directly within Azure Repos pull requests, allowing organizations still using Azure Repos to leverage AI‑powered review capabilities without migrating to GitHub.
  • Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
    The MIT and Wharton study finds that while AI coding tools boost commit activity by up to 180%, their productivity gains diminish significantly as work progresses toward production, with only modest increases in shipped software releases across three generational tiers of tool adoption.
  • Connect Metrics to Traces with Exemplars in Azure Monitor
    Azure Monitor now integrates Exemplars to link OpenTelemetry metrics with traces, enabling engineers to quickly trace specific metric spikes back to their root causes and improve troubleshooting efficiency in cloud-native applications.
  • Enterprise Live Migrations: Moving from Azure DevOps Repo to GitHub with minimal disruption
    Enterprise Live Migrations enables Azure DevOps teams to transition repositories to GitHub with near-zero downtime, using continuous sync and a brief final cut‑over window.
  • GitHub for Beginners: Answers to some common questions
    This guide explains how to set up SSH keys for secure GitHub authentication and create a Personal Access Token (PAT) for programmatic access, detailing step‑by‑step commands and best practices for managing both methods.
  • Azure Boards vs Jira
    Azure Boards offers seamless integration within the Azure DevOps suite, providing tight coupling between work items and source control, CI/CD pipelines, and testing tools, ideal for organizations prioritizing a unified development ecosystem, while Jira excels in modular flexibility, allowing extensive customization across diverse third-party tools through its

🧬 Hybrid + multicloud

🎭 Identity

🔌 Integration

  • Dynamic Connection Properties in Azure Logic Apps Standard
    Azure Logic Apps Standard now allows dynamic connection names for built-in connectors, enabling workflows to switch between multiple SFTP servers or databases at runtime using expressions, improving scalability without separate workflows.
  • Two Outlook Connectors in Copilot Studio; What’s the Difference?
    The two Outlook connectors in Copilot Studio differ primarily in purpose and functionality; Office 365 Outlook is a versatile, Power Platform‑compatible connector with extensive actions for automation across platforms, while Microsoft 365 Outlook is tailored for generative AI agents with curated tool groups to simplify natural language interactions.
  • Productize, observe, version, and automate MCP servers in Azure API Management
    Azure API Management now lets you package, govern, observe, version, and automate MCP servers as first‑class resources, enabling productized, observable, and automatable integration layers for agentic workflows.
  • Logic Apps Aviators Newsletter - June 2026
    Logic Apps Aviators Newsletter - June 2026 features Florian De Langhe, Lead Expert/Team Lead at Delaware, who emphasizes the importance of documentation in integration projects and advocates for finer control over Logic Apps scaling to enhance workflow efficiency.
  • GA of NSP for Azure Service Bus & NSP now available in Azure Gov. Regions
    Network Security Perimeter's General Availability for Azure Service Bus in Azure Government regions—including Texas, Arizona, Virginia, DoD East, and DoD Central—enables customers to enforce perimeter‑based governance on messaging services while meeting strict compliance requirements.
  • Read profiles without chasing every red bar
    Start with memory profiling to identify allocation hotspots that compound over time, using filters to focus on your code's ownership boundaries and domain context before diving into CPU analysis for performance shaping insights.
  • Power Platform tenant inventory — a community showcase of the API-first management surface
    VerseOps is an open‑source Power Platform tenant inventory tool that provides detailed offline snapshots, diff capabilities between snapshots, joined views of capacity and asset counts, raw JSON inspection for each row, and a lightweight codebase designed to be forked and extended by administrators.
  • A message queue bought us time
    Introducing a sequential message pump protects downstream systems but can cause queue wait times to increase under load, while a fire‑and‑forget approach speeds up perceived performance until it leads to unbounded concurrency issues.

💡 Internet of Things

🎓 Learning and Certifications

⚖️ Management and Governance

🎬 Media

  • Online Meeting Effectiveness Index (OMEI)
    The Online Meeting Effectiveness Index (OMEI) uses Azure AI to evaluate virtual meetings on Participation, Engagement, Structure, Sentiment, and Tech Quality, revealing that while tech quality scores high at 92/100, engagement lags at 77/100, suggesting clearer agendas and interaction points can

🚌 Migration

🌐 Networking

🔐 Security

📦 Storage

💻 Virtual Desktop Infrastructure

🔗 Web

  • Now in preview: built-in MCP for Azure App Service
    Built-in MCP for Azure App Service automatically converts hosted REST APIs into Model Context Protocol servers, enabling AI agents to call them with minimal configuration and handling protocol negotiation, tool discovery, and spec hot reloading.
  • What's new in Azure App Service at #MSBuild 2026
    Azure App Service’s #MSBuild 2026 launch introduces an Easy AI experience that lets web apps become AI‑ready instantly, along with Isolated v4 for enhanced security and compliance, Managed Instance for seamless legacy migration, and platform CLI upgrades to streamline deployments—accelerating AI application development
  • Debug App Startup Faster on Azure App Service for Linux with Startup Logs
    The new Azure CLI commands for Azure App Service for Linux provide detailed startup logs, automatically prioritizing failure logs and including hints for common issues like port mismatches and container timeouts, streamlining debugging of application startup problems.
  • ASP.NET Core background tasks with NCronJob and SignalR
    NCronJob integrates with ASP.NET Core SignalR to send real‑time, scheduled messages via Razor Pages UI, demonstrating both concurrent and non‑concurrent job execution with a simple Hub implementation.