The excessive energy usage of cloud data centers has been a major cause for concern among researchers. This is at least in part due to the excessive waste of computer resources. In addition to energy consumption, data centers must deal with unexpected loads that lead to overloads and performance degradation. The concept of brownout, which involves the dynamic deactivation of application optional components (also known as containers/micro services), has emerged as a viable approach to managing overloads and energy consumption. In contrast, methods like consolidating virtual machines and adjusting voltage and frequency dynamically have trouble working when the entire data center is under stress. In this research, we propose a unified strategy for managing cloud data center energy consumption and brownouts using containerization. In addition, we use real-world trace data to evaluate the effectiveness of the scheduling options proposed by the prototype system