Browse Azure Blogs (18)

John Edward outlines an architecture for a “Daily Stand-Up Agent”: a custom AI copilot that pulls sprint activity from Jira and Azure DevOps, detects blockers, and generates consistent stand-up summaries. The post focuses on connectors, grounding ticket data, conversational reporting, and practical considerations like security and data quality.

Rob Bos shares an overview of his open source projects spanning GitHub and CI/CD tooling, Azure-backed services, security reporting, and local-first AI utilities, with links to each repo and a clear description of what each tool does.

Hidde de Smet's Blog explains how GitHub Copilot “skills” work via SKILL.md folders, why the YAML description is the key to discovery, and how this approach keeps context lightweight compared to a giant copilot-instructions.md. It includes a practical Azure Monitor/Application Insights KQL skill you can copy into a repo.

John Edward explains when to use single-agent vs multi-agent AI architectures in a Microsoft context, mapping common designs to Semantic Kernel, AutoGen, and Azure services like Azure OpenAI, Azure AI Search, Functions, Service Bus, and AKS.

Emanuele Bartolesi shows how to point GitHub Copilot CLI at an Azure AI Foundry (Azure OpenAI) deployment using a BYOK-style setup, including how to deploy a model, build the correct endpoint URL, set the required environment variables, and validate the connection.

Thomas Maurer introduces Azure Local Disconnected Operations and explains how to run Azure-style infrastructure—and selected AI workloads—inside fully disconnected or air-gapped environments for sovereignty and compliance needs.

John Edward outlines a practical security checklist for running Microsoft AI agents in production, covering Entra ID identity controls, least-privilege access, data boundaries and DLP, audit logging with Azure Monitor/SIEM, and concrete defenses against prompt injection and unsafe agent behavior.

John Edward shares practical ways to control Azure-based copilot and AI agent spend, focusing on token discipline, caching, model selection, and ongoing governance so LLM solutions scale without surprise bills.

John Edward compares Microsoft Copilot Studio and Azure AI Agents (via Azure AI Foundry/Studio) to help architects choose between a low-code agent builder and a developer-driven platform based on flexibility, cost, scalability, and control.

Thomas Maurer shares a video conversation with Cynthia Treger about Azure hybrid networking in sovereign cloud scenarios, covering Microsoft’s global network, ExpressRoute vs internet-based VPN options, and what to consider for regional and inter-regional connectivity when connecting Azure Local and Azure Arc-enabled services.

John Edward explains how solution architects can use Microsoft’s Azure Global Infrastructure “Globe” experience to choose Azure regions and design for latency, compliance, availability, disaster recovery, and sustainability.

Thomas Maurer shares a conversation with Microsoft Senior Product Manager Pal Lakatos‑Toth about Azure’s built-in CIS Benchmarks and how they’re evolving from static checklists into platform-integrated, flexible security baselines for hybrid, sovereign, and regulated environments.

Heidi Hämäläinen explains why Microsoft Purview Data Governance can feel heavy at first, and why governed metadata (glossary, catalog, data products, and security foundations) matters for scalable analytics, ML, and GenAI work—especially when you need discoverability, compliance, and trust in production.

Thomas Maurer explains practical, supported ways to get hands-on with Azure Local before buying certified hardware, including a sandboxed Azure Jumpstart LocalBox setup and a Hyper‑V HomeLab evaluation approach, plus when to move to a real-hardware proof of concept.

Thomas Maurer introduces the Azure Local LENS Workbook, an open-source Azure Monitor solution that delivers fleet-level visibility and operational insights for large Azure Local deployments.

John Edward provides a comprehensive look at agentic AI in IT, showing how Microsoft Azure and related services create self-healing and intelligent operations through automation, monitoring, and AI-driven incident response.

Thomas Maurer shares the public release of the Sovereign Cloud MicroHack, a Microsoft-led workshop focused on building practical skills in deploying and securing sovereign workloads on Azure and its hybrid services.

Rick Strahl revisits Azure Trusted Signing and explains how the newer dotnet sign workflow (artifact-signing) streamlines code signing compared to the traditional SignTool-based approach, focusing on a faster, simpler way to sign .NET deliverables.