Apple Introduces iCloud Sync for macOS Sequoia Virtual Machines

Apple’s latest advancement in macOS Sequoia presents a groundbreaking update that integrates iCloud functionality within macOS 15 Virtual Machines (VMs). For a long time, developers and users faced significant limitations because iCloud logins weren’t possible in macOS VMs, making it difficult for developers to test iCloud features and for users to sync their data seamlessly. However, a recent investigation by ArsTechnica reveals that with macOS Sequoia, users can now access iCloud on virtual machines, provided both the host and guest operating systems are macOS 15 or newer. This breakthrough in virtualization greatly enhances usability and testing capabilities, opening new doors for software development and user experience.

However, it’s important to note that this new feature comes with certain restrictions, especially for Macs powered by Apple Silicon. According to Apple’s Virtualization framework documentation, a new identity for a VM will be created when it is relocated to a new Mac. This means users will have to re-authenticate for iCloud syncing each time the VM is moved to a different machine. While this adds an additional step for users, it also brings a layer of security, ensuring that data remains protected and accessible only by authorized users. Currently, the macOS Sequoia update is in the developer beta phase, with a public beta scheduled for release in July and a general release planned for the autumn.

Overall, this update marks a significant enhancement in macOS virtualization capabilities, particularly benefiting developers and users who are heavily reliant on iCloud. The ability to access and test iCloud features within a VM will streamline development processes, making it easier to ensure compatibility and performance. For end-users, the improved data synchronization across virtual environments will provide a more cohesive and integrated macOS experience. As macOS Sequoia continues to evolve, it promises to bring even more features and improvements, solidifying Apple’s position as a leader in innovation and user-centric technology solutions.

Explore more

Why Are Big Data Engineers Vital to the Digital Economy?

In a world where every click, swipe, and sensor reading generates a data point, businesses are drowning in an ocean of information—yet only a fraction can harness its power, and the stakes are incredibly high. Consider this staggering reality: companies can lose up to 20% of their annual revenue due to inefficient data practices, a financial hit that serves as

How Will AI and 5G Transform Africa’s Mobile Startups?

Imagine a continent where mobile technology isn’t just a convenience but the very backbone of economic growth, connecting millions to opportunities previously out of reach, and setting the stage for a transformative era. Africa, with its vibrant and rapidly expanding mobile economy, stands at the threshold of a technological revolution driven by the powerful synergy of artificial intelligence (AI) and

Saudi Arabia Cuts Foreign Worker Salary Premiums Under Vision 2030

What happens when a nation known for its generous pay packages for foreign talent suddenly tightens the purse strings? In Saudi Arabia, a seismic shift is underway as salary premiums for expatriate workers, once a hallmark of the kingdom’s appeal, are being slashed. This dramatic change, set to unfold in 2025, signals a new era of fiscal caution and strategic

DevSecOps Evolution: From Shift Left to Shift Smart

Introduction to DevSecOps Transformation In today’s fast-paced digital landscape, where software releases happen in hours rather than months, the integration of security into the software development lifecycle (SDLC) has become a cornerstone of organizational success, especially as cyber threats escalate and the demand for speed remains relentless. DevSecOps, the practice of embedding security practices throughout the development process, stands as

AI Agent Testing: Revolutionizing DevOps Reliability

In an era where software deployment cycles are shrinking to mere hours, the integration of AI agents into DevOps pipelines has emerged as a game-changer, promising unparalleled efficiency but also introducing complex challenges that must be addressed. Picture a critical production system crashing at midnight due to an AI agent’s unchecked token consumption, costing thousands in API overuse before anyone