Self-managing systems are automated systems that can monitor and adjust their own operations without human intervention. They utilize algorithms and sensors to analyze performance, detect issues, and implement solutions in real-time. This capability enhances efficiency and reliability in various applications, such as cloud computing and network management. These systems often incorporate principles from artificial intelligence and machine learning to improve their decision-making processes. By learning from past experiences, self-managing systems can optimize their performance over time, reducing the need for manual oversight and allowing for more scalable and resilient operations in complex environments.