Docker Desktop 4.25: Enhancements to Docker Desktop on Windows, Rosetta for Linux GA, and New Docker Scout Image Analysis Settings

We’re excited to share Docker Desktop’s latest advancements that promise to elevate your experience, enhance productivity, and increase speed. The Docker Desktop 4.25 release supports the GA of Rosetta for Linux, a feature that furthers the speed and productivity that Docker Desktop brings. We’ve also optimized the installation experience on Windows and simplified Docker Scout image analysis settings in this latest Docker Desktop release.Get ready for near-native emulation, seamless updates, and effortless image analysis control. Let’s dive into some of the newest features in Docker Desktop.

Enhanced productivity and speed with Rosetta for Linux GA

We’re thrilled to announce the general availability of Rosetta for Linux, a game-changing Docker Desktop feature that significantly boosts performance and productivity. Here’s what you need to know:

Rosetta for Linux GA: Docker now supports running x86-64 (Intel) binaries on Apple silicon with Rosetta 2. It’s no longer an experimental feature but a seamlessly integrated component of Docker Desktop.

Near-native emulation: The x86_64 emulation performance is now nearly on par with native execution, all thanks to Rosetta 2. This means you can expect near-native speed when running your applications.

Easy activation: Enabling Rosetta for Linux is a breeze. Simply navigate to Docker Desktop Settings > General and toggle it on to take advantage of the enhanced performance.

System requirements: Rosetta for Linux is available on macOS version 13.0 and above, specifically for Apple silicon devices. Notably, it’s enabled by default on macOS 14.1 and newer, making it even more accessible.

Figure 1: Docker Desktop 4.25 User settings displaying the new option to select turning on Rosetta on Apple Silicon.

Customers who used the previously beta feature of Rosetta for Linux experienced remarkable improvements, particularly when compared to alternatives. Real-world examples:

Database operations: SQL queries are running significantly faster, resulting in notable speed-ups. For instance, tasks like creating databases, running queries, and making updates are showing impressive performance gains ranging from 4% to as high as 91%.

Development efficiency: Customers have reported substantial improvements in their development workflows. Tasks like installing dependencies and building projects are considerably faster, translating to more productive development cycles.

Compatibility: For projects that rely on compatibility with Linux/AMD64 platforms due to binary compatibility issues, Rosetta for Linux ensures a smooth and efficient development process.

With Rosetta for Linux in Docker Desktop, users can look forward to a significant performance boost and increased efficiency.

Enhanced Docker Desktop installation experience on Windows

At Docker, we’re committed to delivering a seamless and efficient Docker Desktop experience for Windows users, irrespective of local settings or privileges. We understand that keeping your WSL (Windows Subsystem for Linux) up to date is crucial for a seamless Docker Desktop experience. With this in mind, we’re pleased to announce a new feature in Docker Desktop that detects the version of WSL during installation and offers automated updates.

When an outdated version of WSL is detected, you now have two convenient options:

Automatic update (default): Allow Docker Desktop to handle the WSL update process seamlessly, ensuring your environment is always up to date without any manual intervention.

Manual update: If you have specific requirements or prefer to manage your WSL updates manually, you can choose to update WSL outside of Docker Desktop. This flexibility allows you to make custom kernel installations and maintain full control over your development environment.

With these enhancements, Docker Desktop on Windows becomes more user-friendly, reliable, and adaptable to your unique needs.

Figure 2: Prompt displaying two new options to finish the installation of Docker Desktop.

Improved Docker Desktop compatibility with Windows 

Docker Desktop’s recent update also includes a change in the minimum supported Windows version, now set at 19044. This update isn’t just about staying in sync with Microsoft’s supported operating systems; it’s about providing you with a seamless Docker Desktop installation experience. By raising the minimum version, we aim to prevent issues tied to older Windows versions, reducing installation failures. 

Figure 3: Alert regarding the installed version of Windows being incompatible with the version of Docker Desktop being installed.

To ensure all Windows users can harness the latest Docker Desktop features and functionalities, we’ve implemented a clear prompt to upgrade Windows versions below 19044.

New Docker Scout settings management in Docker Desktop 4.25

Introducing an easy way for users to manage Docker Scout image analysis in Docker Desktop 4.25. Now, users can easily control Docker Scout image indexing from the Docker Desktop general settings panel with a user-friendly toggle to enable or disable the analysis of local images. 

Administrators can fine-tune access with customized user policies, ensuring precise control of Docker Scout image analysis within their organizations. By specifying an organizational setting in admin-settings.json, administrators can control the Docker Scout image analysis feature for their developers. This enhancement is the first of many to ensure that both users and administrator experiences support personalization.

Figure 4: Docker Desktop 4.25 user settings displaying the new option to turn Scout SBOM indexing on or off at a user settings level. For organizations that have administration, this feature can be restricted per company policies.

Conclusion

The 4.25 release is all about enhancing your Docker Desktop experience. Rosetta for Linux provides remarkable speed and efficiency, optimized installation on Windows ensures seamless updates, and Docker Scout image analysis settings are more easily established.

Update to Docker Desktop 4.25 to empower every user and team to continue to improve productivity and efficiency in developing innovative applications. Do you have feedback? Leave feedback on our public GitHub roadmap, and let us know what else you’d like to see in upcoming releases.

Learn more

Read the Docker Desktop Release Notes.

Get the latest release of Docker Desktop.

Have questions? The Docker community is here to help.

New to Docker? Get started.

Quelle: https://blog.docker.com/feed/

Der Amazon Route 53 Traffic Flow unterstützt jetzt Geoproximity-Routing für AWS Local Zones

Ab heute kann das Route 53 Geoproximity-Routing mit AWS Local Zones im Route 53 Traffic Flow verwendet werden, um die Latenz für Endbenutzer zu reduzieren, die eine Verbindung zu Anwendungen herstellen, die in ihrer nächstgelegenen Local Zone ausgeführt werden. Mit dieser Version können Sie die Anwendungsleistung für latenzempfindliche Workloads verbessern, indem Sie den Datenverkehr innerhalb derselben geografischen Region wie die Infrastruktur der Local Zone weiterleiten.
Quelle: aws.amazon.com

Amazon WorkSpaces stellt Graphics G4dn-Pakete für Ubuntu-Desktops vor

Amazon WorkSpaces stellt jetzt zwei neue Grafikpakete für Ubuntu-Desktops vor, die auf der EC2-G4dn-Familie basieren: Graphics.g4dn und GraphicsPro.g4dn. Mit diesen Paketen können Sie grafik- und rechenintensive Workloads auf Ubuntu-Desktops mit 4k-Monitoren in der Cloud ausführen. Diese bieten kostengünstige Lösungen für Grafikanwendungen, die für NVIDIA-GPUs optimiert sind und NVIDIA-Bibliotheken wie CUDA, cuDNN, OptiX und Video Codec SDK verwenden.
Quelle: aws.amazon.com

Amazon OpenSearch Service bietet jetzt Amazon EC2 Im4gn-Instances

Amazon OpenSearch Service bietet jetzt Amazon EC2 Im4gn-Instances an, die mit AWS-Graviton2-Prozessoren betrieben werden. Der neue Im4gn-Instance-Typ eignet sich am besten für speicherintensive Workloads und bietet niedrigere Kosten pro TB als die bestehenden speicheroptimierten Instances, die auf OpenSearch Service verfügbar sind. Im4gn unterstützt bis zu 30 TB NVMe SSD-Instance-Speicher mit AWS Nitro SSDs.
Quelle: aws.amazon.com

AWS Glue für Apache Spark kündigt native Konnektivität für Google BigQuery an

AWS Glue für Apache Spark unterstützt jetzt native Konnektivität zu Google BigQuery, wodurch Benutzer effizient Daten aus BigQuery lesen und schreiben können, ohne den BigQuery Connector für Apache Spark-Bibliotheken installieren oder verwalten zu müssen. Benutzer können BigQuery jetzt als Quelle oder Ziel in der grafischen Benutzeroberfläche von AWS Glue Studio ohne Code per Drag-and-Drop hinzufügen oder den Connector direkt in einem AWS Glue ETL-Job Script verwenden. In Kombination mit den ETL-Funktionen (Extract, Transform, Load) von AWS Glue vereinfacht dieser neue Connector die Erstellung von ETL-Pipelines, wodurch ETL-Entwickler Zeit beim Aufbau und der Wartung von Data Pipelines sparen können.
Quelle: aws.amazon.com