Description: Load shedding is the process of intentionally reducing the load on a system to prevent overloads. This concept is fundamental in the management of technological resources, where efficiency and stability are crucial. Load shedding is applied in various areas, such as cloud computing, where the aim is to minimize the risk of attacks and ensure service availability. In data streaming, it is used to optimize the flow of information and avoid bottlenecks. In the context of API gateways, load shedding helps manage requests more efficiently, ensuring that the system is not overwhelmed by high traffic volumes. Additionally, in CPU scheduling, the goal is to balance the workload across different cores to maximize performance. In container and orchestration environments, load shedding allows for the distribution of applications in a way that minimizes resource usage. In robotic process automation, strategies are implemented to reduce manual workload, improving operational efficiency. In summary, load shedding is a comprehensive approach that seeks to optimize the performance and security of technological systems, ensuring their smooth and efficient operation.