Month: April 2026

🔹 Feature: Easy MCP Server 🔹 What It Does: Turn any REST API on App Service into an AI-ready MCP server — zero code changes. What is it giving you: ✅ Instant MCP Enablement: Expose your existing REST APIs as MCP servers without touching your application code. ✅ AI Integration Ready: Seamlessly connect your apps to AI workflows, agents, and Microsoft Copilot. ✅ Zero-Code Deployment: Simplifies the process — no SDKs or custom middleware required. ✅ Fast Time-to-Value: Bring intelligent capabilities to your applications in minutes. ✅ Secure by Default: Leverages App Service authentication and existing Azure security configurations. 🌐 https://techcommunity.microsoft.com/blog/appsonazureblog/app-service-easy-mcp-add-ai-agent-capabilities-to-your-existing-apps-with-zero-c/4484513 🌐 https://techcommunity.microsoft.com/blog/appsonazureblog/building-mcp-apps-with-azure-functions-mcp-extension/4496536

🔹 Feature: GitHub Copilot Custom Instructions & Agent Skills 🔹 What It Does: Enhances GitHub Copilot by embedding your team’s coding standards, architecture patterns, and reusable workflows so AI-driven suggestions, PR reviews, and agent tasks align to your organization instead of generic defaults. Why It Matters Out-of-the-box Copilot is smart, but it doesn’t know your naming conventions, security baselines, or that your IaC uses Bicep over Terraform. Custom Instructions make Copilot contextually aware of your standards, while Skills provide portable, reusable runbooks (scripts + templates + examples) it can invoke when needed. Together, they transform Copilot from a general assistant into a teammate who has read your onboarding docs. What It’s Giving You ✅ Repository-Wide Instructions – .github/copilot-instructions.md defines always-on rules for architecture, coding style, build/test/deploy norms ✅ Path-Specific Instructions – .github/instructions/*.instructions.md applies different rules for IaC, pipelines, or language-specific folders ✅ Agent Skills – .github/skills/ with portable SKILL.md folders that bundle scripts and templates, invoked automatically or via /skill-name ✅ Cross-Surface Consistency – Skills work across VS Code, Copilot CLI, and cloud coding agents (open standard, also compatible with Claude) ✅ Progressive Context Loading – Skills inject their context only when triggered, keeping token usage efficient ✅ Priority Model … GitHub Copilot Custom Instructions & Agent SkillsRead more

🔹 Feature: Microsoft Defender for Cloud + GitHub Advanced Security for Azure DevOps 🔹 What It Does: Provides end-to-end software supply chain security directly in your Azure DevOps pipelines — automatically scanning code, dependencies, secrets, and infrastructure-as-code (IaC) before vulnerabilities hit production. Why It Matters: Remember Log4j? Four years after the initial crisis, Sonatype’s 2026 research shows **~300 million Log4j downloads in 2025**, with **13% (~40 million)** still vulnerable to Log4Shell. 🤯 And it’s not just Log4j — 95% of vulnerable open-source components already had a safe version available, but developers didn’t upgrade. Modern applications are heavily open-source dependent, and one forgotten transitive dependency can become a direct risk to production. What It’s Giving You: ✅ Dependency Scanning: Flags vulnerable packages directly in PRs, including Log4j risk detection. ✅ Secret Scanning: Detects leaked keys, tokens, and connection strings before merges. ✅ CodeQL Static Analysis: Identifies real vulnerabilities, not just style issues. ✅ Unified Security Posture: Defender for Cloud shows DevOps security across GitHub + Azure DevOps in one view. ✅ Context-Aware Prioritization: Helps focus on vulns that actually reach production. ✅ Seamless Integration: Works natively in existing Azure DevOps pipelines — no extra tools needed. 🌐 https://learn.microsoft.com/en-us/azure/defender-for-cloud/defender-for-devops-introduction 🌐 https://learn.microsoft.com/en-us/azure/devops/repos/security/github-advanced-security-what-is Sources: … Microsoft Defender for Cloud + GitHub Advanced Security for Azure DevOpsRead more

🔹 Feature: Optimizing MTU for Cloud VMs 🔹 What It Does: Optimizing MTU for your solution can provide network bandwidth performance benefits by reducing the total number of packets required to send a dataset. What Is It Giving You: ✅ Accelerated Network Performance: Fewer packets travel across the network, improving throughput. ✅ Lower CPU Load: Reduced packet handling increases efficiency for both Linux and Windows VMs. ✅ Improved Configuration: Correct MTU settings prevent packet fragmentation, which boosts stability and performance. ✅ Cross-Platform Benefits: Works with both Linux and Windows systems, delivering consistent gains. ✅ Seamless Cloud Integration: Optimizing MTU aligns with Azure recommendations for virtual network performance tuning. 🌐 https://learn.microsoft.com/en-us/azure/virtual-network/how-to-virtual-machine-mtu

🔹 Feature: Sysmon for Linux 🔹 What It Does: Extends system monitoring capabilities to Linux environments, aligning with the well-known Windows Sysmon from Sysinternals. What is it giving you: ✅ Advanced Threat Detection: Gain visibility into process creation, network connections, and file changes on Linux systems. ✅ The same schema configuration ✅ Cross-Platform Security: Aligns Linux monitoring with Windows environments to provide consistent security telemetry. ✅ Enhanced Incident Response: Supports forensic investigations by collecting rich and detailed event logs for faster MITRE ATT&CK mapping. ✅ Integration with SIEM & SOC Tools: Seamlessly forwards logs to Microsoft Sentinel or other SIEM platforms for centralized monitoring. ✅ Open Source & Extensible: Built with flexibility to adapt to various Linux distributions and security workflows. 🌐 https://github.com/microsoft/SysmonForLinux

🔹 Feature: Microsoft’s 365 Copilot in the Microsoft 365 Admin Center 🔹 What It Does: Copilot helps admins quickly find information and understand their tenant using natural language queries directly in the Microsoft 365 admin center. What It’s Giving You ✅ Quick user and license insights Ask questions like: • “Show users without a Microsoft 365 license.” • “List users with Copilot licenses.” • “Which users haven’t signed in recently?” ✅ Faster troubleshooting Quickly surface information about users, roles, services, and settings without manually searching through the admin portal. ✅ Natural language administration Use everyday language instead of navigating complex menus or running scripts. ⚠️ Copilot in the admin center is currently focused on information and guidance, not direct actions. 🌐 https://learn.microsoft.com/en-us/copilot/microsoft-365/copilot-for-microsoft-365-admin #mvpbuzz #azurenews #Microsoft365 #mctbuzz #msignite

🔹 Feature: Microsoft 365 Create (m365.cloud.microsoft/create) included in almost every office 365 🔹 What It Does: Microsoft 365 Create provides a new AI-powered experience for generating visual and multimedia content, including images, videos, presentations, infographics, posters, and documents. Instead of starting with a blank canvas, you simply describe what you want, and Copilot generates the content for you. What It’s Giving You: 🎨 Generate Images with AI – Instantly create visuals for presentations, documents, or social media by describing your idea. 🎥 Create Videos from Ideas – Transform simple prompts into short videos for marketing, storytelling, or team updates. 📊 Generate Infographics and Posters – Quickly turn topics and raw ideas into compelling visual summaries. 📑 Create Presentations from Prompts – Produce PowerPoint slides based on a description, outline, or concept. 📝 Draft Word Documents – Jumpstart your writing with AI-generated structures and initial content. 🌐 Try it here: https://m365.cloud.microsoft/create

🔹 Feature: Microsoft 365 Copilot Pay-As-You-Go 🔹 What It Does: Offers a flexible, usage-based model for accessing Microsoft 365 Copilot capabilities, eliminating the need for a full per-user license. What It’s Giving You: ✅ Usage-Based AI Access Enable Copilot features and pay only for actual usage, instead of committing to a fixed license per user. ✅ Copilot Chat and AI Agents Access Copilot Chat and SharePoint agents to interact with work data, summarize documents, ask questions, and even automate tasks. ✅ Create Rich Content Generate documents, presentations, summaries, images, and multimedia content directly through Copilot chat experiences. ✅ Flexible Cost Control Admins can set budgets, monitor usage, and scale access via the Microsoft 365 admin center for better cost management. ⚠️ No Embedded Copilot in Apps Pay-As-You-Go does not show the Copilot icon within Excel, Word, or PowerPoint like the full license does.

🔹 Feature: Drasi Server – Standalone Drasi Without Requiring Kubernetes 🔹 What It Does: Drasi Server is a standalone server for the Drasi data change processing platform. ✅ Simple Change-Driven Architecture: Configure Sources → Continuous Queries → Reactions in YAML, mirroring the original Drasi concept. 💡 Pro Tip: Perfect for small or edge deployments, PoCs, or environments where Kubernetes is overkill — yet you still want the full power of Drasi’s change-driven architecture. 🌐 https://github.com/drasi-project/drasi-server Do not forget – here is a great LAB: https://github.com/radius-project/lab

Here are some practical prompts you can try today 👇 📊 Excel – Build and Analyze Data Copilot can help you create structured workbooks, analyze data, and visualize insights. ✅ Create a workbook from scratch “Create a project tracking workbook with tasks, owners, due dates, and status, plus a summary sheet.” ✅ Add formulas and automation “Add formulas to calculate on-time completion rate and highlight overdue items.” ✅ Model scenarios “Add best-case, base-case, and worst-case scenarios for this forecast and explain the assumptions.” ✅ Visualize data “Create a PivotTable and charts showing status by owner and overall risk in a dashboard format.” 📝 Word – Create and Improve Documents Copilot is great for drafting, refining, and updating real documents. ✅ Create a document “Create a 2-page customer brief explaining our Q3 product strategy including goals, initiatives, and success metrics.” ✅ Refine tone and structure “Rewrite the executive summary to be more concise and executive-ready and add clear section headers.” ✅ Edit specific sections “Turn this section into a table comparing options and bold the recommended choice.” ✅ Update an existing document “Update this monthly report with the latest results and adjust the conclusion to reflect the new data.” 📊 PowerPoint … Useful Copilot Prompts for Excel, Word, and PowerPointRead more

🔹 Feature: Anthropic Claude Models in Microsoft 365 Copilot 🔹 What It Does: Enables organizations to use Anthropic’s Claude models (Claude Sonnet and Claude Opus) within Microsoft 365 Copilot for selected scenarios like research, reasoning, and content creation. Claude is available in Microsoft 365 Copilot’s Researcher agent and Copilot Studio, giving enterprises the flexibility to choose between OpenAI and Anthropic models based on their tasks. ✅ When to Use Claude in Copilot 1. Making Sense of Multi-Source Information Claude excels at synthesizing information from multiple sources and creating coherent explanations, even with partial or ambiguous data. Example prompts: • “Catch me up on this project based on these documents.” • “Summarize what changed this week and why it matters.” • “Explain the current state of this work as if I’m seeing it for the first time.” 2. Turning Raw Thinking into Polished Communication Claude is strong at rewriting, refining, and improving tone in long-form content. Example prompts: • “Rewrite this to be executive-ready.” • “Turn these bullet points into a customer-friendly explanation.” • “Make this sound confident but not defensive.” 3. Strategic Thinking & Brainstorming Claude serves as a thinking partner for exploring ideas, trade-offs, and potential risks. Example prompts: … Anthropic Claude Models in Microsoft 365 CopilotRead more

🔹 Feature: Node Auto-Provisioning (NAP) in Azure Kubernetes Service (AKS) 🔹 What It Does: Automatically creates and manages node pools based on workload requirements, ensuring the right VM sizes and resources are provisioned dynamically for your Kubernetes workloads. 💡Why It Matters: Traditional autoscaling (Cluster Autoscaler) only scales existing node pools. With Node Auto-Provisioning, AKS can create the optimal infrastructure automatically, making it ideal for dynamic environments with diverse workloads. What It’s Giving You: ✅ Automatic Node Pool Creation: AKS dynamically creates new node pools with the optimal VM sizes based on pod resource requests. ✅ Alternative to Cluster Autoscaler: Instead of scaling only existing node pools, NAP automatically provisions entirely new node pools when required. ✅ Better Resource Matching: Ensures workloads run on nodes that match CPU, memory, GPU, or architecture requirements. ✅ Improved Cost Efficiency: Prevents over-provisioned nodes by selecting right-sized VMs for each workload. ✅ Reduced Operational Overhead: No need to manually define and maintain multiple node pools for different workload types. ✅ Smart Scheduling Integration: Works with the Kubernetes scheduler to provision nodes only when pods cannot be scheduled. ✅ Automatic Node Lifecycle Management: AKS can scale down and remove unused nodes and pools as workloads decrease. … Node Auto-Provisioning (NAP) in Azure Kubernetes Service (AKS)Read more

🔹 Feature: Azure Kubernetes Service (AKS) Cost Analysis 🔹 What It Does: Provides granular cost visibility for your AKS clusters, letting you see exactly how infrastructure spending maps to Kubernetes resources like clusters, namespaces, and workloads. 💡 Why It Matters: AKS clusters rely on many underlying Azure resources (VMs, storage, networking). Cost Analysis helps attribute those costs back to the Kubernetes workloads that generated them, simplifying FinOps and enabling easier chargeback across teams. What It’s Giving You: ✅ Kubernetes-Aware Cost Breakdown: View spending across clusters, namespaces, and workloads instead of only raw Azure resources. ✅ Detailed Infrastructure Cost Insights: Understand costs from VM scale sets, disks, load balancers, public IPs, and networking used by your AKS cluster. ✅ Idle vs Used Cost Visibility: Identify unused capacity and wasted spending by separating idle and active infrastructure costs. ✅ Trend and Anomaly Tracking: Monitor historical spending trends and detect workloads or clusters driving unexpected costs. ✅ Optimization Opportunities: Use insights to right-size clusters, scale nodes, or adjust workloads to reduce cloud expenses. ✅ Azure Portal Integration: Built on the OpenCost project and integrated with Azure Cost Management, giving you Kubernetes-specific cost views directly in the portal. 🌐 https://learn.microsoft.com/en-us/azure/aks/cost-analysis

🔹 Feature: Fully Managed GPU Node Pool on Azure Kubernetes Service (AKS) 🔹 What It Does: Enables you to create GPU-enabled node pools in AKS where Azure automatically installs and manages NVIDIA GPU drivers, device plugins, and monitoring components, simplifying deployment of AI, ML, and high-performance workloads on Kubernetes. 💡 AKS GPU nodes in Azure Local avaible also. What It’s Giving You: ✅ One-Step GPU Infrastructure: Create GPU-enabled node pools without manually installing drivers, plugins, or telemetry components. ✅ Fully Managed NVIDIA Stack: AKS automatically installs the NVIDIA GPU driver, Kubernetes device plugin, and DCGM metrics exporter for GPU monitoring. ✅ Simplified Operations: Eliminates the need to maintain custom images, scripts, or DaemonSets for GPU configuration. ✅ Built-in GPU Monitoring: GPU utilization, memory usage, and performance metrics are automatically exposed for observability and optimization. ✅ Autoscaling GPU Workloads: Combine GPU node pools with Cluster Autoscaler or KEDA to dynamically scale expensive GPU resources based on demand. ✅ Optimized for AI & ML: Perfect for model training, inference workloads, deep learning, and high-performance computing scenarios. ✅ Consistent and Secure Runtime: Standardized node images ensure compatibility with Kubernetes upgrades and reduce operational complexity. 🌐 https://learn.microsoft.com/en-us/azure/aks/aks-managed-gpu-nodes?tabs=add-ubuntu-gpu-node-pool

🔹 Feature: Office Math Improvements   🔹 What It Does: Enhances math creation, editing, readability, accessibility, and collaboration across Word, PowerPoint, Excel, Outlook, and OneNote—making math truly inclusive for everyone in Microsoft 365. What is it giving you: ✅ Keyboard Shortcuts: Quickly insert & edit native Office Math without needing a mouse.   ✅ Seamless Conversion: Effortlessly switch between linear math (UnicodeMath or LaTeX) and professional formatted equations.   ✅ Audio Feedback: Receive audible cues when entering or exiting math zones to avoid accidental typing errors.   ✅ Improved Screen Reader Support: Narrator now provides context and navigation cues while editing math—critical for visually impaired users.   ✅ Better Accessibility: Equations are more accurately read aloud by assistive technologies, improving comprehension.   ✅ Native PDF Math Support: Exported PDFs now contain inclusive, standards-compliant math content.   ✅ MathML Pasting: Paste MathML from the web or other apps to make math editable and accessible in Office.   🌐 https://techcommunity.microsoft.com/blog/microsoft365insiderblog/make-math-inclusive-for-everyone-with-microsoft-365/4489147

🔹 Feature: Optimal Deployment and Infrastructure Navigator for Azure Local (ODIN) 🔹 What It Does: A decision-tree, browser-based wizard that helps you design, document, and deploy Azure Local using validated architecture and network guidance. What It’s Giving You: ✅ Quick Learning Curve: Rapidly understand Azure Local concepts, network requirements, and deployment options. ✅ Documentation Made Easy: Document existing deployments or import ARM templates from deployed clusters to generate instant architecture documentation. ✅ Zero Installation: 100% client-side web application that works offline — no data ever leaves your browser. ✅ End-to-End Deployment Paths: Supports hyperconverged, multi-rack, disconnected, and other real-world configurations. ✅ Accelerated Deployment: Generate ARM parameters from your design and enable one-click deployment to Azure Portal. 🌐 Explore ODIN: https://azure.github.io/odinforazurelocal/