The ability to measure resilience critically depends on the underlying conceptual framework that guides the analysis. Yet, in contrast with its popularity in policy-making, resilience is a complex and ambiguous concept addressing multiple dimensions. Definitions and attributes of resilience vary widely between studies. Infrastructure is also a versatile concept and can describe built assets (hard infrastructure) or refers to all the institutions which are required to maintain the economic, health, and cultural and social standards of a country (soft infrastructure). In addition, infrastructure can be considered in terms of physical objects and networks or in terms of services. These different conceptions determine very different perimeters and sectors and ultimately result in divergent approaches to select relevant dimensions and design corresponding indicators. Analysis and modeling are confronted with considerable uncertainties regarding climate system behavior, but also future emissions, development trajectories and urbanization trends, in particular at the regional level. These uncertainties make it difficult, and sometimes impossible, to know exactly what the infrastructure should be adapted to. The past is no longer a reliable guide for the future as both the natural and the social spheres are becoming increasingly dynamic and uncertain. Resilience is increasingly adopted in its broadest and most comprehensive definition which blends persistence and adaptability where Resilience is the ability of X to anticipate, absorb, adapt to and rapidly recover from Y. These different abilities correspond to different temporal phases: A system resists and absorbs during and recovers after a stressful event. All three abilities depend on adaptability efforts to anticipate, prevent and prepare the system which take place before an event. To be used in practice, resilience need to be framed: the nature and focus of methodologies developed to assess and measure resilience depends on the adopted definitions, the type of infrastructure of interest –in particular whether soft infrastructure is included or not, the perimeter, sectors and time horizon considered and last but not least, the purpose of the evaluation. The range of potential evaluation needs and the number of specific challenges precludes the elaboration of a one-size-fits-all set of indicators for infrastructure resilience. If there is no “perfect” operational framework which encompasses all the dimensions of infrastructure resilience, in practical terms, asset owners, local authorities, regulators and insurers face these issues on a daily basis. From an operational point of view, resilient infrastructures should be well designed and well managed. In other words, resilience of infrastructure is the result of: • good design to ensure that the system has the necessary resistance, reliability and redundancy and, • good organization to provide the ability, capacity and capability to respond and recover from disruptive events. Our efforts to identify “indicators” for infrastructure resilience have not revealed many existing indicators of value. Instead, it is clear that best practice guidelines are increasingly perceived as efficient tools to encourage and promote resilience and deliver a level of reassurance not otherwise available through specific indicators. Norms of engineering designs, materials, and retrofit strategies have been developed to enhance the ability of infrastructure elements to withstand natural hazards. Many design and engineering standards already contribute to ensuring resistance and reliability of infrastructure. Risk management and Business Continuity Management standards are generic and comprehensive approaches. They provide frameworks, guidelines and process-based indicators to continually update and improve the abilities of an organization to overcome a disruptive event. Efforts must be pursued to update infrastructure design standards to ensure that future infrastructure capital is more resilient to anticipated climate change and extreme events. Finally, several dynamic fields of investigation are likely to influence conception and methods of infrastructure resilience assessment in the near future, including: • Modeling of infrastructure dependency to account better for the complexity of the systems and ensure that vulnerabilities in one sector do not compromise others. • Ecosystem-based climate change adaptation which cost-efficiency is becoming increasingly recognized • Evaluation of the efficiency of indicators and cost-benefit assessments methods.