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Celebrating 15 Remarkable Years in the Microsoft MVP Community

Dear Community Members, Friends, and Colleagues,

As I mark my 15th anniversary in the Microsoft MVP program, I’m filled with immense gratitude, humility, and pride. What began as a passion for sharing knowledge and building connections has blossomed into a deeply rewarding journey—one shaped by innovation, collaboration, and the extraordinary people who make this community thrive.

Over these 15 years, I’ve had the privilege to learn from brilliant minds, contribute to inspiring projects, and witness the transformative power of technology firsthand. Whether through speaking engagements, blog posts, mentoring, or hands-on technical work, being part of the MVP program has continually deepened my commitment to empowering others and fostering open, inclusive collaboration.

To the community: thank you for challenging, supporting, and celebrating with me. Your curiosity, creativity, and kindness are what keep this ecosystem alive and forward-looking.

To Microsoft: thank you for the honor and trust. The MVP program is a unique platform that amplifies voices, nurtures growth, and builds bridges—not just between developers and users, but between ideas and action.

While this milestone is a moment to reflect, it’s also a reminder that there’s always more to explore, create, and share. I look forward to continuing this journey together—with the same spark, but even greater purpose.

With heartfelt appreciation,
James

Here are some photos with Awesome people that I have met during these years:

Here you see Vijay Tewari in the middle who nominated me for the first time 🙂
Damian Flynn on the left and me on the right are Microsoft MVPs for Virtual Machine Manager (VMM)
at that time in 2011.

Here you see Tina Stenderup-Larsen in the middle, she is amazing! A Great Microsoft Community Program Manager
supporting all the MVPs in the Nordics & Benelux doing an Awesome Job!
On the right is Robert Smit a Great Dutch MVP and friend.

Mister OMS alias Scripting Guy Ed Wilson.

When there is a Microsoft Windows Server event, there is Jeff Woolsey 😉
“The three Musketeers”

Meeting Brad Anderson, he had great lunch breaks interviews in his car
with Awesome people.

The Azure Stack Guys on the 25th MVP Global Summit 😊

Mister PowerShell Jeffrey Snover at the MVP Summit having fun 😂

Scott Guthrie meeting him at the Red Shirt Tour in Amsterdam.

Great to meet Yuri Diogenes in 2018 with his book Azure Security Center.
I know him from the early days with Microsoft Security, like ISA Server 😉

Mister Azure, CTO Mark Russinovich meeting at the MVP Global Summit in Redmond.
a Great Technical Fellow with Awesome Azure Adaptive Cloud Solution Talks!

Mister DevOps himself Donovan Brown in Amsterdam for DevOps Days

My friend Rick Claus Mister MS Ignite.

Mister Azure Corey Sanders at the MVP Summit.

Mister Channel 9, MSIgnite, AI Specialist Seth Juarez
He is a funny guy.

Meeting Scott Hanselman in the Netherlands together with MVP Andre van den Berg.
Scott is Awesome in developer innovations and technologies.
Following Azure Friday from the beginning.

Windows Insider friends for ever meeting Scott Hanselman.
With on the left MVP Erik Moreau.

Windows Insiders for Ever 💙
Here together with Dona Sarkar here in the Netherlands

Windows Insider Friends having fun with Ugly Sweater meeting.
On the right my friend Maison da Silva and on the upper right Erik Moreau and Andre van den Berg.
Friends for Life 💙

Microsoft Global MVP 15 Years Award disc is in the House 🫶
on Monday the 14th of July 2025.

Thank you All 💗


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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:

  1. Build & Harden Docker Images – Optimize base images to minimize attack surfaces.
  2. Scan with Docker Scout – Detect vulnerabilities in both public and private repositories.
  3. Push Secure Images to ACR – Ensure only validated, hardened images are stored.
  4. Deploy on Azure Container Solutions – Use AKS, Azure App Service, or Azure Functions with improved security confidence.
  5. 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:

  1. Use Minimal Base Images (Alpine, Distroless) to reduce attack surfaces.
  2. Regularly Update & Scan Images to patch vulnerabilities.
  3. Implement Role-Based Access Controls (RBAC) for container registries.
  4. Adopt Infrastructure as Code (IaC) to enforce secure configurations.
  5. Monitor & Audit Logs for anomalous activity detection.
  6. Automate Docker Scout scans in CI/CD pipelines.
  7. Enforce image signing & verification using Azure Key Vault.
  8. Regularly update base images & dependencies to mitigate risks.
  9. 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

 

 


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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:

  1. 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.
  2. 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.
  3. 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!


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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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

 


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Docker Desktop Update version 4.38.0 with Kubernetes Multi-Node feature

Install the Newest Docker Desktop version 4.38.0

Docker released a New Docker Desktop version 4.38.0 with new features:

  • nstalling Docker Desktop via the PKG installer is now generally available.
  • Enforcing sign-in via configuration profiles is now generally available.
  • Docker Compose, Docker Scout, the Docker CLI, and Ask Gordon can now be updated independently of Docker Desktop and without a full restart (Beta).
  • The new update command has been added to the Docker Desktop CLI (Mac only).
  • Bake is now generally available, with support for entitlements and composable attributes.
  • You can now create multi-node Kubernetes clusters in Docker Desktop.
  • Ask Gordon is more widely available. It is still in Beta.

In the following steps I’m upgrading my Docker Desktop Kubernetes 1-Node Cluster to a 4-Node Kubernetes Cluster:

Go to Settings in Docker Desktop and click on Kubernetes

Click on Kind.
Here you can select the Kubernetes version and how much nodes you need.

IMPORTANT: This will create a new Kubernetes Cluster!
(the old 1-node cluster will be gone)

Creating 4-Node Kubernetes Cluster in Docker Desktop

4-Node Kubernetes Cluster running in Docker Desktop

When you have “Show System Containers” in Settings at Kubernetes on
then you see these 4-Nodes here in VSCode.

Happy Coding 🐳

 


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Revolutionizing Hybrid Cloud Storage with Azure Container Storage Enabled by Azure Arc

In the dynamic world of cloud computing, Microsoft continues to innovate with solutions that empower organizations to manage hybrid and multi-cloud environments effectively. One such groundbreaking solution is Azure Container Storage enabled by Azure Arc. This technology is designed to simplify and enhance the management of persistent storage for Kubernetes clusters, providing a unified and adaptive approach to cloud storage.

What is Azure Container Storage Enabled by Azure Arc?

Azure Container Storage enabled by Azure Arc is a first-party storage system designed for Arc-connected Kubernetes clusters. It serves as a native persistent storage solution, offering high availability, fault tolerance, and seamless data synchronization to Azure Blob Storage. This system is crucial for making Kubernetes clusters stateful, especially for Azure IoT Operations and other Arc services.

Key Features and Benefits

  1. High Availability and Fault Tolerance: When configured as a 3-node cluster, Azure Container Storage enabled by Azure Arc replicates data between nodes (triplication) to ensure high availability and tolerance to single node failures.
  2. Data Synchronization to Azure: Data written to volumes is automatically tiered to Azure Blob Storage, including block blob, ADLSgen-2, or OneLake. This ensures that data is securely stored and easily accessible in the cloud.
  3. Low Latency Operations: Arc services, such as Azure IoT Operations, can expect low latency for read and write operations, making it ideal for real-time applications.
  4. Simple Connection: Customers can easily connect to an Azure Container Storage enabled by Azure Arc volume using a CSI driver to start making Persistent Volume Claims against their storage.
  5. Flexibility in Deployment: Azure Container Storage enabled by Azure Arc can be deployed as part of Azure IoT Operations or as a standalone solution, providing flexibility to meet various deployment needs.
  6. Platform Neutrality: This storage system can run on any Arc Kubernetes supported platform, including Ubuntu + CNCF K3s/K8s, Windows IoT + AKS-EE, and Azure Stack HCI + AKS-HCI and Azure Local.

Microsoft Azure Local solution

 

Azure Container Storage Offerings

Azure Container Storage enabled by Azure Arc offers two main storage options:

  1. Cache Volumes: The original offering, providing a reliable and fault-tolerant file system for Arc-connected Kubernetes clusters.
  2. Edge Volumes: The newest offering, which includes Local Shared Edge Volumes and Cloud Ingest Edge Volumes. Local Shared Edge Volumes provide highly available, failover-capable storage local to your Kubernetes cluster, while Cloud Ingest Edge Volumes facilitate limitless data ingestion from edge to Blob storage.

Use Cases and Applications

Azure Container Storage enabled by Azure Arc is particularly beneficial for organizations with hybrid and multi-cloud environments. It supports various use cases, including:

  • IoT Applications: Ensuring data integrity and synchronization in disconnected environments, making it ideal for IoT operations.
  • Edge Computing: Providing local storage for scratch space, temporary storage, and locally persistent data unsuitable for cloud destinations.
  • Data Ingestion: Facilitating seamless data transfer from edge to cloud, optimizing local resource utilization and reducing storage requirements.

Conclusion

Azure Container Storage enabled by Azure Arc represents the future of hybrid cloud storage, offering seamless onboarding, unified management, and adaptive capabilities. By leveraging this technology, organizations can overcome the challenges of hybrid and multi-cloud environments, streamline operations, and drive innovation.

Whether you’re just starting your cloud journey or looking to optimize your existing infrastructure, Azure Container Storage enabled by Azure Arc provides the tools and guidance you need to succeed. Embrace the power of this transformative solution and unlock new possibilities for your organization.

Jumpstart Drops is a good begin in your test environment, before you begin in production. Here you find a Jump start drop about “Create an Azure Container Storage enabled by Azure Arc Edge Volumes with CloudSync” by Anthony Joint.

More information:

Introducing Azure Local by Cosmos Darwin

Microsoft Adaptive Cloud

Announcement! Edge Storage Accelerator YouTube video. 

What is Microsoft Azure Arc Services?


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Docker Desktop for Windows – A Developer’s Best Friend

Docker Desktop main screen

In the ever-evolving world of software development, Docker Desktop for Windows has emerged as an indispensable tool for developers. This powerful platform simplifies the process of building, sharing, and running applications within containers, offering a host of features and benefits that streamline workflows and enhance productivity. Let’s dive into what makes Docker Desktop for Windows a must-have for developers.

Easy Installation and Setup

One of the standout features of Docker Desktop for Windows is its straightforward installation process. With just a few clicks, developers can have Docker up and running on their Windows machines. The intuitive setup ensures that even those new to Docker can get started without a hitch.

Integrated GUI

Docker Desktop comes with a user-friendly Graphical User Interface (GUI) that makes managing containers, images, and settings a breeze. The GUI provides a visual representation of your Docker environment, allowing you to easily monitor and control your containers without needing to rely solely on command-line instructions.

Seamless Integration with WSL 2

For developers working with both Windows and Linux containers, Docker Desktop offers seamless integration with Windows Subsystem for Linux 2 (WSL 2). This integration allows you to switch between Linux and Windows containers effortlessly, leveraging the best of both worlds. WSL 2 provides a lightweight Linux kernel that runs alongside your Windows OS, ensuring optimal performance and compatibility.

Resource Management

Docker Desktop includes robust resource management features, enabling developers to allocate CPU, memory, and disk resources to their containers. This ensures that your development environment remains responsive and efficient, even when running multiple containers simultaneously.

Automatic Updates

Docker Desktop Automatically check for updates.

Keeping your Docker environment up-to-date is crucial for security and performance. Docker Desktop simplifies this process with automatic updates, ensuring that you always have the latest features and security patches without manual intervention.

Docker Compose Integration

Docker Compose is a powerful tool for defining and running multi-container Docker applications. Docker Desktop integrates seamlessly with Docker Compose, allowing developers to easily manage complex applications with multiple services. This integration simplifies the orchestration of containers, making it easier to develop, test, and deploy applications.

Kubernetes Support

For developers looking to dive into the world of Kubernetes, Docker Desktop offers built-in support for Kubernetes. This feature allows you to run a single-node Kubernetes cluster on your local machine, providing a convenient environment for learning and experimentation. With Kubernetes support, you can develop and test containerized applications before deploying them to a production cluster.

Volume Management

Docker Desktop Volumes management

Managing data within containers is made simple with Docker Desktop’s volume management capabilities. You can easily create, manage, and share volumes between containers, ensuring that your data persists across container restarts and updates.

Benefits for Developers

Enhanced Productivity

Docker Desktop Dev Environments

Docker Desktop streamlines the development process by providing a consistent environment across different stages of development. This consistency reduces the “it works on my machine” problem, ensuring that applications run smoothly from development to production.

Simplified Collaboration

With Docker Desktop, sharing your development environment with team members is as simple as sharing a Docker image. This ensures that everyone on your team is working with the same setup, reducing discrepancies and improving collaboration.

Flexibility and Portability

Docker containers are inherently portable, allowing you to run your applications on any system that supports Docker. This flexibility is particularly beneficial for developers working in diverse environments or deploying applications across different platforms.

Improved Security

Docker Desktop Scout

Docker Desktop provides a secure environment for running containers, isolating applications from the host system and each other. This isolation reduces the risk of security vulnerabilities and ensures that your development environment remains protected.

Conclusion

Docker Desktop for Windows is a game-changer for developers, offering a comprehensive suite of features that enhance productivity, simplify collaboration, and improve security. Whether you’re a seasoned developer or just starting with containerization, Docker Desktop provides the tools you need to build, share, and run applications with ease. Embrace the power of Docker Desktop and take your development workflow to the next level.

Here you find more information about Docker Desktop:

The Website of Docker Desktop

Docker Desktop Documentation

Skill up with Docker

Whalecome to the Docker Community 🐳

Docker in VSCode

Happy coding! 🚀


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Using GitHub Copilot Free in VSCode for Infrastructure as Code guidance

Simple install of GitHub Copilot Free edition in VSCode
More information in the Marketplace here

GitHub Copilot free for VSCode

GitHub Copilot Free edition for Microsoft VSCode is very handy to get started with Infrastructure as Code (IaC) and make your own deployment scripts for Azure Cloud Services.

Here I asked for a bicep deployment script to deploy a Windows Server Insider Build into Azure Cloud.

What I really like is GitHub Copilot free speech extension in VSCode.
Now I can just Talk to Copilot and get the job done 🙂

Here you find all the information you need about GitHub Copilot free for VSCode

Conclusion

GitHub Copilot free in VSCode is a very handy AI tool to save time in your project and can support your work.
Copilot can make mistakes by using wrong information or data, that’s why you have always do the checks yourself and test first before you use it in production. Happy Infrastructure as Code with GitHub Copilot Free edition for VSCode


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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:

  1. 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.
  1. 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.
  1. Requirements
  1. 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.
  1. 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

 

 


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Docker Desktop for Windows Update 4.36.0 (175267) Available

Docker Desktop Software Update 4.36.0 (175267)

  • WSL2 is now faster, more reliable, and has enhanced security
  • Enhance Container Isolation (ECI) has been improved to support images with wildcard tags
  • Admins can now:
    • Allow any container to mount the Docker socket with ECI
    • Enforce sign-in with macOS configuration profiles (Early Access)
    • Enforce sign-in for more than one organization at a time (Early Access)
    • Deploy Docker Desktop for Mac in bulk with the PKG installer (Early Access)
    • Use Desktop Settings Management to manage and enforce defaults via admin.docker.com (Early Access)

Docker Desktop for Windows is Up-to-date 👍
together with Kubernetes version 1.30.5