This chapter proposes an analysis for a reliability score to estimate the environmental stress and aging effects on edge devices, and how it could provide complementary information to an orchestration strategy. Edge devices implement a predictive model to estimate the status of the device towards reliability and aging without intervention, helping to mitigate risks related to operative expenditures, maximizing the total cost of ownership. The model is performed live from sensorization from the devices and out-of-band mechanisms, to trigger orchestration mitigation mechanisms. A Context-aware, Aging-aware orchestrator distributes workloads aware of the device conditions and their responsibilities to ensure task performance, quality of service and energy consumption. Thus, it introduces the elastic energy distributed orchestration strategy for sustainability and environments where the power supply could be non-continuous (for example, battery-based). A Use Case using Raspberry Pi devices, vídeo-analytics and out-of-band frameworks, is introduced and discussed jointly with simulation results related to the reliability score and orchestration strategies.