Proxmox Backup Server (PBS) 4.0 is here with a new Debian 13 base, updated kernel, native S3-compatible storage, and useful improvements for managing backups. This release gives you more choices for where to store data and simplifies tasks like using removable drives or syncing to off-site locations. In this post, I will walk you through crucial new features, show the commands you can run, and provide a short upgrade checklist.

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In my previous article, I introduced Apple's new Containerization solution for macOS and compared it with Docker Desktop. In today's post, I'll explain how to install Apple’s new Container CLI—a Swift‑based, open‑source tool—for running OCI‑compliant Linux containers on your Mac. Native container support will launch in macOS 26 (Tahoe), but you can install and utilize the Container CLI on macOS 15 with certain limitations. In the step‑by‑step guide, I will explain how to install, configure, and start running containers with Apple’s fresh alternative to Docker Desktop.

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At WWDC 2025, Apple announced the Containerization Framework and Container CLI, a solution for creating and running Linux containers as lightweight virtual machines on Mac. This article is geared toward developers, sysadmins, and DevOps engineers who want to understand how Apple Container works under the hood and how it compares to Docker Desktop.

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Windows Server 2025 introduced several advancements that make containerized workloads more flexible, secure, and customizable. One notable feature is the addition of Features on Demand (FoD) in Nano Server containers. This feature allows you to customize Nano Server containers by adding only the necessary components while keeping your container images small and optimized. In this guide, we’ll explore how to enable and use Features on Demand within Nano Server containers, providing real-world use cases that demonstrate this feature's power. We will also examine how it impacts container image sizes.

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The Docker Model Runner is a beta feature available in Docker Desktop 4.40 for macOS that enables you to run open-source AI models, including DeepSeek, Llama, Mistral, and Gemma, locally on Macs with Apple Silicon (M1 to M4). Support for Windows with NVIDIA GPU acceleration is expected to be released by the end of April 2025.

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