Increasing integration of cyber and physical elements has led to the explosion of the Internet of Things (IoT), in which sensors and actuators facilitate the real-time exchange of physical and cyber information. Given the success of such integration in improving efficiency and visibility within cyber-physical systems, a wide range of computing paradigms have emerged from the centralized Cloud to processing occurring near the point of collection at the Edge. However, such integration also introduces new vulnerabilities and avenues for cascading failures. To address these vulnerabilities, this chapter examines the state-of-the-art in resilience across the Cloud-to-Things continuum. After defining resilience, we propose a set of resilience metrics that can capture how well a system is able to maximize computing availability, quantified in terms of its Quality of Resilience (QoR). Then, emerging technologies that increase system intelligence are discussed in terms of their ability to strengthen resilience through fault-tolerance and security. Finally, these metrics and approaches are applied to case studies of smart water systems and an IOT-enabled e-health system. Results can be extended to any application of the cloud-to-things continuum which should be designed and improved to strengthen system resilience.