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The ability of a system to maintain the availability of its services for the end user is a crucial indicator of performance, both in terms of infrastructure and serviceability. In other words, the service's availability depends on the system's resilience, which is its ability to handle disruptions in the deployed service. Fault management is crucial to increasing system resilience because it aims to control and recover error conditions. However, the efficiency of the fault management implementation depends on the infrastructure design: hardware-assisted fault management allows the quickest recovery action and a better fault isolation. From what we have written above, we can understand why an efficient infrastructure design and practical implementation of fault management can lead to high system resilience. How can we evaluate the efficiency of fault management and infrastructure design relative to system resilience? This paper proposes a new model for measuring system resilience that considers the different fault management aspects contributing to resilience.