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Rethinking the Linux cloud stack for confidential VMs
There is an inherent limit to the privacy of the public cloud. While Linux can isolate virtual [...]
In parallel to the work on security, there is a constant effort to improve the performance of Linux in the cloud — both in terms of literal throughput and in user experience (typically measured by quality-of-service metrics like low I/O tail latency). While it is true that offloading provides a faster path for network traffic, it has some downsides, such as limiting visibility and auditing, increasing reliance on hardware and firmware, and circumventing OS-based security checks of flows and data. While these batch-oriented applications may still experience some performance impact, they generally have a higher tolerance for latency — not because they are inherently less sensitive to it, but because they lack realtime human interaction (e.g., there are no users sitting in front of a browser waiting for a reply).
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