It is monitored with increased concern for animal resilience in breeding nowadays due to climate change in progress. With increasing temperature, dairy cows have lower feed intake, lower milk yield and disrupted physiological function of the rumen. Cows are also more diseased. Term resilience marks the ability of individuals to manage adverse situations and overcome crises. Dairy cows’ resilience is influenced by environmental factors and from minority by genetic effects. It is a new trait which is not monitored in Czech dairy herds. Longevity is an indirect tool for monitoring resilience in current selection programs of dairy cows. Longevity is influenced by many factors for example milk yield and herd management. The reaction of dairy cows to changing environmental conditions can be monitored by using an automatic milking system and other sensors. It is a daily milk yield, weight, or cow’s behaviour for example daily step count. The next step is data series assembling and expressing resilience as a divergence from health traits, performance and other fitness traits. Useful information is a magnitude of a deviation with lower variance in resilient cows and also the duration of reaction on a stressor. It is recovery speed. The scientific sphere has done the evaluation of resilience traits based on variances in daily milk yield which can express recovery ability. The other indicators are autocorrelation (correlation among consecutive states) and mutual correlation (correlation among different system elements). These indicators are heritable despite of low heritable coefficient of 0,06 – 0,10. Animals with stable milk yield stay healthy, but cows with deflecting milk yield have a higher risk of illness or death. A useful step is to connect different traits and indicators in the overall selection index. The result of our research will be implementing dairy cows‘ resilience into the current selection program of dairy cows.