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

Agentic AI Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and