AI | Cloud and Datacenter Management Blog

February 26, 2026
by James van den Berg Leave a comment

Docker Sandbox for Testing

Docker Sandbox project.

A Docker sandbox gives you a safe, disposable environment to experiment, build, or let automated tools run without risking your real system. It’s becoming an essential part of modern development workflows, especially as coding agents and cloud‑based tooling evolve. Docker

What a Docker sandbox actually is

A Docker sandbox is an isolated execution environment that behaves like a lightweight, temporary machine. It lets you run containers, install packages, modify configurations, and test ideas freely—while keeping your host system untouched. Modern implementations often use microVMs to provide stronger isolation than traditional containers, giving you the flexibility of a full system with the safety of a sealed box.

Key characteristics include:

Isolation — Your experiments can’t affect your host OS.
Disposability — You can reset or destroy the environment instantly.
Reproducibility — Every sandbox starts from a known, clean state.
Autonomy — Tools and agents can run unattended without permission prompts.

Why Docker sandboxes matter now

The rise of coding agents and automated development tools has created new demands. These agents need to run commands, install dependencies, and even use Docker themselves. Traditional approaches—like OS‑level sandboxing or full virtual machines—either interrupt workflows or are too heavy. Docker sandboxes solve this by offering:

A real system for agents to work in
The ability to run Docker inside the sandbox
A consistent environment across platforms
Fast resets for iterative development

This makes them ideal for AI‑assisted coding, CI/CD experimentation, and secure testing.

Where you can use Docker sandboxes today

Several platforms now offer browser‑based or cloud‑hosted Docker sandboxes, making it easy to experiment without installing anything locally.

Docker Sandboxes (Docker Inc.) — Purpose‑built for coding agents, using microVM isolation.
CodeSandbox Docker environments — Interactive online playgrounds where you can fork, edit, and run Docker‑based projects directly in the browser. CodeSandbox
LabEx Online Docker Playground — A full Docker terminal running on Ubuntu 22.04, ideal for learning and hands‑on practice, especially as Play with Docker winds down. LabEx

These platforms remove setup friction and let you focus on learning, testing, or building.

How developers typically use Docker sandboxes

A Docker sandbox fits naturally into several workflows:

Learning Docker — Practice commands, build images, and explore networking without installing anything.
Testing risky changes — Try new packages, configs, or scripts without fear of breaking your machine.
Running coding agents — Give AI tools a safe environment to operate autonomously.
Prototyping microservices — Spin up isolated services quickly and tear them down just as fast.
Teaching and workshops — Provide a consistent environment for all participants.

A non‑obvious advantage

Docker sandboxes aren’t just about safety—they’re about speed of iteration. Because they reset instantly and start from a known state, they eliminate the “works on my machine” problem and make experimentation frictionless. This is especially powerful when combined with automated tools or when onboarding new team members.

Closing thought

Docker sandboxes are becoming a foundational tool for modern development—combining safety, speed, and autonomy in a way that traditional containers or VMs alone can’t match. They’re especially valuable if you’re experimenting with AI‑driven coding tools or want a clean, reproducible environment for testing.
Important: Use Docker Sandboxes for testing.

Claude Code sandbox

It works great with VSCode and with Copilot.

More information about Docker Sandbox

January 13, 2026
by James van den Berg Leave a comment

Azure Local Cluster + Azure Cloud + Docker AI Edge

Azure Local Cluster on‑site working in tandem with Azure Cloud, running Dockerized AI workloads at the edge — is not just viable. It’s exactly the direction modern distributed AI systems are heading.

Let me unpack how these pieces fit together and why the architecture is so compelling.

Azure Local Baseline reference Architecture

A powerful hybrid model for real‑world AI

Think of this setup as a two‑layer AI fabric:

Layer 1: On‑site Azure Local Cluster
Handles real‑time inference, local decision‑making, and data preprocessing.
This is where Docker containers shine: predictable, isolated, versioned workloads running close to the data source.
Layer 2: Azure Cloud
Handles heavy lifting: model training, analytics, fleet management, OTA updates, and long‑term storage.

Together, they create a system that is fast, resilient, secure, and scalable

Why this architecture works so well

Ultra‑low latency inference

Your on‑site Azure Local Cluster can run Dockerized AI models directly on edge hardware (Jetson, x86, ARM).
This eliminates cloud round‑trips for:

object detection
anomaly detection
robotics control
industrial automation

Azure Local provides the core platform for hosting and managing virtualized and containerized workloads on-premises or at the edge.

Seamless model lifecycle management

Azure Cloud can:

train new models
validate them
push them as Docker images
orchestrate rollouts to thousands of edge nodes

Your local cluster simply pulls the new container and swaps it in.
This is exactly the “atomic update” pattern from the blogpost.

Strong separation of concerns

Local cluster = deterministic, real‑time execution
Cloud = dynamic, scalable intelligence

This separation avoids the classic problem of trying to run everything everywhere.

Enterprise‑grade security

Azure Arc, IoT Edge, and Container Registry gives you:

signed images
policy‑based deployments
identity‑bound devices
encrypted communication

This is critical when edge devices live in factories, stores, or public spaces.

Cloud‑assisted intelligence

Even though inference happens locally, the cloud can still:

aggregate telemetry
retrain models
detect drift
optimize pipelines
coordinate multi‑site deployments

This is how AI systems improve over time.

How Docker fits into this hybrid world

Docker becomes the unit of deployment across both environments for DevOps and developers.

On the edge:

lightweight images
Hardened images
GPU‑enabled containers
read‑only root filesystems
offline‑capable workloads

In the cloud:

CI/CD pipelines
model registries
automated scanning
versioned releases

The same container image runs in both places — but with different responsibilities.

My take: This is one of the strongest architectures for real‑world AI

If your goal is:

real‑time AI
high reliability
centralized control
scalable deployments
secure operations
hybrid cloud + edge synergy

…then Azure Local Cluster + Azure Cloud + Docker AI Edge is a near‑ideal solution.

It gives you the best of both worlds:
cloud intelligence + edge autonomy.

Here you find more about Microsoft Azure Local

Here you find more blogposts about Docker, Windows Server 2025, and Azure Cloud Services :

Windows Server 2025 Core and Docker – A Modern Container Host Architecture

Docker Desktop Container Images and Azure Cloud App Services

May 28, 2025
by James van den Berg Leave a comment

Strengthening Container Security with Docker Hardened Images and Azure Container Registry

In today’s cloud-native landscape, container security is paramount. IT professionals must strike a balance between agility and security, ensuring that applications run smoothly without exposing vulnerabilities. One way to achieve this is through Docker hardened images, which enhance security by reducing attack surfaces, enforcing best practices, and integrating with Microsoft Azure Container Registry (ACR) for seamless deployment.

Why Hardened Docker Images?

A hardened Docker image is optimized for security, containing only the necessary components to run an application while removing unnecessary libraries, binaries, and configurations. This approach reduces the risk of known exploits and ensures compliance with security standards. Key benefits include:

Reduced Attack Surface: Eliminating unnecessary components minimizes entry points for attackers.
Improved Compliance: Meets security benchmarks like CIS, NIST, and DISA STIG.
Enhanced Stability: Smaller images mean fewer dependencies, reducing vulnerabilities.
Better Performance: Optimized images lead to faster deployments and lower resource consumption.

Leveraging Azure Container Registry for Secure Image Management

Microsoft Azure Container Registry (ACR) plays a critical role in securely storing, managing, and distributing hardened images. IT professionals benefit from features such as:

Automated Image Scanning: Built-in vulnerability assessment tools like Microsoft Defender for Cloud detect security risks.
Content Trust & Signing: Ensures only authorized images are deployed.
Geo-replication: Enables efficient global distribution of container images.
Private Registry Access: Provides secure authentication via Azure Active Directory.

Microsoft Azure Container Registry

Hardened Images in Azure Container Solutions

By deploying hardened images through Azure Kubernetes Service (AKS), Azure Container Apps, and Azure Functions, organizations strengthen security in cloud-native applications while leveraging Azure’s scalability and flexibility. This translates to:

Improved Security Posture: Reducing exposure to common container-based threats.
Streamlined Operations: Consistent, automated deployment pipelines.
Efficient Cost Management: Optimized images lower compute and storage costs.

Strengthening Security with Docker Scout

Docker Scout is a powerful security tool designed to detect vulnerabilities in container images. It integrates seamlessly with Docker CLI, allowing IT professionals to:

Scan Images for CVEs (Common Vulnerabilities and Exposures): Identify security risks before deployment.
Receive Actionable Insights: Prioritized remediation recommendations based on severity.
Automate Security Checks: Continuous monitoring ensures compliance with security standards.
Integrate with Azure Container Registry (ACR): Scan images stored in ACR for proactive security management.

How It Works with Azure Container Solutions

By incorporating Docker Scout with Azure Container Registry (ACR), IT teams can establish a robust security workflow:

Build & Harden Docker Images – Optimize base images to minimize attack surfaces.
Scan with Docker Scout – Detect vulnerabilities in both public and private repositories.
Push Secure Images to ACR – Ensure only validated, hardened images are stored.
Deploy on Azure Container Solutions – Use AKS, Azure App Service, or Azure Functions with improved security confidence.
Monitor & Automate Security Updates – Continuous scanning helps maintain container integrity.

Best Practices for IT Professionals

To maximize security, IT teams should adopt the following best practices:

Use Minimal Base Images (Alpine, Distroless) to reduce attack surfaces.
Regularly Update & Scan Images to patch vulnerabilities.
Implement Role-Based Access Controls (RBAC) for container registries.
Adopt Infrastructure as Code (IaC) to enforce secure configurations.
Monitor & Audit Logs for anomalous activity detection.
Automate Docker Scout scans in CI/CD pipelines.
Enforce image signing & verification using Azure Key Vault.
Regularly update base images & dependencies to mitigate risks.
Apply role-based access controls (RBAC) within Azure Container Registry

Conclusion

Secure containerization starts with hardened Docker images and robust registry management. Azure Container Registry offers IT professionals the tools to maintain security while leveraging cloud efficiencies. By integrating these strategies within Azure’s ecosystem, organizations can build resilient and scalable solutions for modern workloads.
Docker Scout combined with Azure Container Registry provides IT professionals a strong security foundation for cloud-native applications. By integrating proactive vulnerability scanning into the development workflow, organizations can minimize risks while maintaining agility in container deployments.
When you work with artificial intelligence (AI) and Containers working with Model Context Protocol (MCP)
Security by Design comes first before you begin.
Here you find more information about MCP protocol via Docker documentation

May 19, 2025
by James van den Berg Leave a comment

Installing Windows AI Foundry Local (preview) on my Surface is easy

winget install Microsoft.FoundryLocal

Foundry Local is an on-device AI inference solution offering performance, privacy, customization, and cost advantages. It integrates seamlessly into your existing workflows and applications through an intuitive CLI, SDK, and REST API.

Foundry Local Architecture

foundry model run phi-3.5-mini

Foundry Local Service is running

Foundry model list

Run and stop the Foundry local Service.

More information on Microsoft Docs :

Microsoft Foundry Local documentation

https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-local/reference/reference-cli

April 30, 2025
by James van den Berg Leave a comment

Unleashing AI Development with Docker Desktop 4.41

Docker Desktop version 4.41 available

Unleashing AI Development with Docker Desktop 4.41: NVIDIA GPU Support and Model Runner Beta

The world of AI development is evolving rapidly, and Docker Desktop 4.41 is here to accelerate that journey. With the introduction of the Model Runner Beta and NVIDIA GPU support, Docker has taken a significant leap forward in making AI development more accessible, efficient, and integrated. Let’s dive into the highlights of this groundbreaking release.

What’s New in Docker Desktop 4.41?

Docker Desktop 4.41 introduces the Model Runner Beta, a feature designed to simplify the process of running and managing AI models locally. This release also brings NVIDIA GPU support to Windows users, enabling developers to harness the power of GPU acceleration for their machine learning tasks. Here’s a closer look at the key updates:

Model Runner Beta:
- The Model Runner Beta allows developers to run AI models as part of their Docker Compose projects. This integration streamlines the orchestration of model pulls and the injection of model runner services into applications.
- A dedicated “Models” section in the Docker Desktop GUI provides a user-friendly interface for browsing, running, and managing models alongside containers, volumes, and images.
NVIDIA GPU Support:
- Windows users can now leverage NVIDIA GPUs for AI workloads, significantly boosting performance and reducing training times for machine learning models.
- This feature is a game-changer for developers working on resource-intensive AI applications, as it enables seamless integration of GPU acceleration into their workflows.
Enhanced Integration with Docker Compose and Testcontainers:
- Docker Compose now supports the declaration of AI services within a single Compose file, allowing teams to manage models like any other service in their development environment.
- Testcontainers integration extends testing capabilities to AI models, with initial support for Java and Go, making it easier to create automated tests for AI-powered applications.

Why This Matters for AI Developers

The introduction of the Model Runner Beta and NVIDIA GPU support in Docker Desktop 4.41 addresses several pain points faced by AI developers:

Simplified Workflows: By treating models as first-class artifacts, Docker enables developers to version, distribute, and deploy models using familiar tools and workflows.
Improved Performance: GPU acceleration ensures faster training and inference times, allowing developers to iterate and innovate more quickly.
Seamless Collaboration: The ability to push models directly to Docker Hub fosters collaboration and sharing across teams, eliminating the need for custom registries or additional infrastructure.

Getting Started with Docker Model Runner

Enable GPU-backed Inference

docker model status

docker model help

docker model pull ai/smollm2

ai/smollm2 model pulled successfully

docker model list

docker model run ai/smollm2

This is a small example, but it’s really fast with answering my questions 👍

The Future of AI Development with Docker

Docker Desktop 4.41 is more than just an update; it’s a step towards democratizing AI development. By integrating powerful tools like the Model Runner Beta and NVIDIA GPU support, Docker is empowering developers to build, test, and deploy AI applications with unprecedented ease and efficiency.

Whether you’re a seasoned AI researcher or a developer exploring the possibilities of machine learning, Docker Desktop 4.41 is your gateway to a faster, smarter, and more collaborative AI development experience.

Ready to transform your AI workflows? Dive into Docker Desktop 4.41 and experience the future of AI development today!

March 31, 2025
by James van den Berg Leave a comment

Exploring Docker Desktop 4.39.0 New Features and Enhancements

Docker Desktop for Windows update 4.39.0

Introduction
Docker Desktop 4.39.0 is here, bringing a host of new features designed to enhance developer productivity, streamline workflows, and improve security. This release continues Docker’s commitment to providing efficient, secure, and reliable tools for building, sharing, and running applications.

Key Features in Docker Desktop 4.39.0

Docker AI Agent with Model Context Protocol (MCP) and Kubernetes Support
- The Docker AI Agent, introduced in previous versions, has been upgraded to support MCP and Kubernetes. MCP enables AI-powered applications to access external data sources, perform operations with third-party services, and interact with local filesystems. Kubernetes support allows the AI Agent to manage namespaces, deploy services, and analyze pod logs.
General Availability of Docker Desktop CLI
- The Docker Desktop CLI is now officially available, offering developers a powerful command-line interface for managing containers, images, and volumes. The new docker desktop logs command simplifies log management.
Platform Flag for Multi-Platform Image Management
- Docker Desktop now supports the –platform flag on docker load and docker save commands, enabling seamless import and export of multi-platform images.
Enhanced Containerization Across Programming Languages
- The Docker AI Agent can now containerize applications written in JavaScript, Python, Go, C#, and more. It analyzes projects to identify services, programming languages, and package managers, making containerization effortless.
Security Improvements
- Docker Desktop 4.39.0 addresses critical vulnerabilities, such as CVE-2025-1696, ensuring proxy authentication credentials are no longer exposed in plaintext.

Docker Scout Security

Why These Features Matter

Developer Productivity: The upgraded Docker AI Agent simplifies container management and troubleshooting, saving developers time and effort.
Multi-Platform Flexibility: The –platform flag ensures compatibility across diverse environments, making Docker Desktop a versatile tool for modern development.
Enhanced Security: By addressing vulnerabilities, Docker Desktop 4.39.0 reinforces its position as a secure platform for application development.

Conclusion
Docker Desktop 4.39.0 is a significant step forward, offering smarter tools, improved security, and greater flexibility for developers. Whether you’re managing Kubernetes clusters or containerizing applications, this release has something for everyone.

For more details, you can explore the official Docker blog or the release notes

February 10, 2025
by James van den Berg Leave a comment

Windows 11 with Copilot on Microsoft Surface Devices

Introduction to Windows 11 with Copilot on Microsoft Surface Devices

Welcome to the exciting world of Windows 11, where innovation meets productivity with the combined power of Copilot and Microsoft’s Surface devices. In this blogpost, we’ll explore how Windows 11 enhances the user experience, and how pairing it with Copilot on a Surface Laptop or Surface Pro creates an unmatched synergy that transforms the way you work and play.

Microsoft Copilot + PC for Business

User Interface and Design

Windows 11 introduces a sleek, modern interface with a centered Start menu, rounded corners, and new iconography. The redesigned taskbar, Action Center, and widgets provide a more intuitive and streamlined experience, making navigation a breeze on the stunning high-resolution displays of Surface devices. With the Surface’s touch and pen capabilities, the new themes and wallpapers can be tailored to fit your unique style.

New Features and Improvements

Enhanced Touch and Pen Support

Surface devices are known for their exceptional touch and pen support, making Windows 11’s enhanced touch features even more impactful. Whether you’re using the Surface Pen for precise drawing or multitouch gestures to navigate seamlessly, the combination offers unparalleled interactivity.

Virtual Desktops and Snap Layouts

With Windows 11, organizing your workspace becomes effortless. The introduction of Snap Layouts and Snap Groups allows for better multitasking, perfectly complemented by the Surface’s spacious screen real estate. Virtual desktops let you create customized workspaces for different projects, maximizing productivity on the go.

Improved Gaming Capabilities

Gaming on a Surface Laptop or Surface Pro reaches new heights with Windows 11’s optimized gaming features. From DirectStorage for faster load times to Auto HDR for vibrant visuals, your gaming experience becomes more immersive and enjoyable.

What is the NPU, and how does it enhance performance.

The Neural Processing Unit (NPU) is a newer addition to modern Windows devices and plays a key role in handling tasks related to artificial intelligence (AI) and machine learning. It is designed to speed up complex processes such as facial recognition, voice assistance, and data analysis, which require advanced computation. The NPU’s ability to offload these tasks from the CPU and GPU allows for faster, more efficient operation of the entire system.

Unlocking the power of NPU on Surface: Our “Hello World” journey for DevOps and developers

AI Integration

Copilot – Your AI Companion

Integrating Copilot into Windows 11 on Surface devices brings a new level of intelligence and assistance. Copilot can help you with tasks like setting reminders, generating content, and providing insights. With improved speech recognition and the power of the Surface’s microphones and speakers, interacting with Copilot feels natural and efficient.

Microsoft Office and AI

Windows 11 leverages AI to enhance productivity tools like Microsoft Office. Copilot can offer intelligent suggestions and insights, helping you create polished documents, manage emails, and stay organized, all while utilizing the Surface’s powerful hardware.

Security Enhancements

Security is paramount in Windows 11, with features like Windows Hello, Microsoft Defender, and BitLocker providing robust protection. The new Windows Security Center offers a comprehensive overview of security settings, ensuring your Surface device is always secure. Windows Hello takes full advantage of the Surface’s IR camera for quick and secure logins.

Windows 11 Security

Hyper-V and Virtualization

Windows 11 includes advanced virtualization capabilities through Hyper-V, allowing you to create and manage virtual machines with ease. This feature is particularly useful for developers, IT professionals, and power users who need to run multiple operating systems or isolated environments on their Surface devices.

Windows Subsystem for Linux (WSL)

The Windows Subsystem for Linux (WSL) in Windows 11 provides a seamless way to run Linux distributions natively on your Surface device. WSL offers improved performance, compatibility, and integration with Windows tools, making it an essential feature for developers and tech enthusiasts.

WSL

Performance and Optimization

Windows 11 is designed to deliver improved performance and efficiency, with faster boot times, enhanced battery life, and better resource management. Surface devices leverage hardware advancements to provide a smoother and more responsive experience, ensuring you can work and play without interruptions.

Tips and Tricks

Here are some tips and tricks to help you get the most out of Windows 11 on your Surface device:

Keyboard Shortcuts: Utilize the Surface’s keyboard shortcuts to navigate quickly and efficiently.
Customization: Personalize your device with themes, wallpapers, and widgets that reflect your style.
Pen Shortcuts: Take advantage of Surface Pen shortcuts for quick access to apps and features.
Battery Optimization: Manage power settings to maximize battery life and keep your Surface running longer.
Troubleshooting: Use the Windows Security Center and Device Manager to diagnose and fix common issues.
Become a Windows Insider: Here you can test almost every week a new Windows 11 Insider Preview Build

Conclusion

Windows 11, combined with Copilot on Microsoft Surface devices, represents a significant leap forward in terms of design, functionality, and performance. The innovative features and improvements make it the operating system of choice for users around the world, providing a seamless and powerful experience that enhances every aspect of your digital life.

Here you find more information about Microsoft Windows 11

The New Microsoft Surface Laptop Copilot + PC

Microsoft Windows 11 Free training on MS-Learn

Microsoft Windows 11 Security Book for free 👍✅

Enjoy your New Microsoft Surface Device with Copilot!
It’s Awesome 😉

December 13, 2024
by James van den Berg Leave a comment

NEW Docker Desktop version 4.37.0 with Docker AI Gordon Beta Feature Available!

New Docker Desktop for Windows version Available

You can now perform key operations such as starting, stopping, restarting, and checking the status of Docker Desktop directly from the command line.
The AI Catalog in Docker Hub is directly available through Docker Desktop.

More information about this release 4.37.0 on Docker docs.

Installing new release

Enable Docker AI (Beta feature) here

Click on Apply & Restart

The New AI Docker Beta feature known as Gordon

The new AI Docker beta feature, known as “Ask Gordon,” allows you to interact with Docker’s AI assistant to get help, guidance, and answers to your Docker-related questions. Here’s how you can use it:

Using “Ask Gordon” in Docker CLI

Open your terminal or command line interface.
Use the command: docker ai.
This will activate the “Ask Gordon” feature, and you can type your questions or commands directly.

Using “Ask Gordon” in Docker Desktop

Open Docker Desktop.
Look for the “Ask Gordon” feature, which is integrated into the interface.
You can type your questions or requests in the provided input field.

Requirements

Ensure you have an active internet connection.
Make sure your system allows communication to https://ai-backend-service.docker.com/.

Enabling or Disabling “Ask Gordon”

For Individual Users:
- Open Docker Desktop.
- Go to Settings > Features in development > Beta features.
- Tick or untick the “Enable Docker AI” option.
- Click “Apply and restart” to save changes.
For Organizations:
- Administrators can disable “Ask Gordon” for the entire organization using the “Cloud Settings” feature.

What You Can Do with “Ask Gordon”

Ask questions about Docker commands, configurations, and best practices.
Get help troubleshooting Docker issues.
Learn about Docker features and updates.

Docker Public Roadmap on GitHub

November 21, 2024
by James van den Berg Leave a comment

My highlights Day 2 of Microsoft Ignite 2024

Microsoft Azure Adaptive Cloud approach enabled by Azure Arc.

Adaptive Cloud approach Key Services and Products.

Operate everywhere with AI-enhanced management and security

AI-enhanced Central Management & Security

Get Started with Azure Arc Jumpstart here

Welcome to the heart of our mission at Azure Arc Jumpstart, where we strive to transform your learning experience into a smooth and empowering journey. Our commitment is rooted in the principles that drive us forward:

Enabling immediate engagement: Arc Jumpstart is designed to offer a seamless “zero to hero” experience. We understand the value of your time, and our goal is to enable you to dive right into Azure Arc, eliminating barriers and complexities.
Comprehensive guidance: We provide more than just guides; we offer comprehensive, step-by-step instructions tailored for various independent Azure Arc scenarios. Our content is meticulously detailed, incorporating extensive automation, vivid screenshots, and insightful code samples. This ensures that your learning journey is not just informative but also visually enriching and deeply engaging.
Unparalleled user experience: Our dedication lies in delivering a rich and immersive experience. We go beyond the basics, curating a user-centric environment that resonates with both beginners and seasoned professionals. Whether you’re setting up your environment on-premises or in the cloud, our guides empower you to focus on Azure Arc’s core values without being bogged down by technical intricacies.
Embracing platform flexibility: We recognize the diversity of your infrastructure, and our mission is to provide a platform-agnostic approach. Arc Jumpstart accommodates your infrastructure, whether it resides on-premises or in the cloud. Our focus is to ensure that regardless of your setup, you can harness the true potential of the Azure Arc platform effortlessly.

Investments to further the Adaptive Cloud Approach 🚀

Introducing Microsoft Azure Local enabled by Azure Arc

Scott Hanselman about Visual Studio and Copilot

More AI development in Visual Studio or VSCode

Microsoft Windows 365 Link

This is Awesome, my next question is:
How fast will this solution be on Mobile?

Windows Hotpatch will be Available Spring 2025
for Windows 11 and Windows 365.

Windows Resilient Security Platform

Quick Machine Recovery in Insider program early 2025.

Microsoft working together with Cybersecurity & Infrastructure Security Agency

Smart App Control only Verified apps are allowed.

Windows Hello for Business Update with support for passkey.

Administrator Protection.

Personal Data Encryption to Windows Enterprise
Only decrypted via Windows Hello

Microsoft 365 in File Explorer

Windows Search is Cool 😎
Coming in 2025

My Conclusion

Make your own test environment and become a Windows Insider to be one of the first to test these Awesome New features!
You can make this of course in Microsoft Azure Cloud or in your own Azure Local environment 🚀
There are so much possibilities, to keep yourself up-to-date with this changing IT landscape.