Autonomic Computing is a computing paradigm that aims to create self-managing systems capable of automatically handling their own operations. Inspired by the human body's autonomic nervous system, these systems can adapt to changing conditions, optimize performance, and recover from failures without human intervention. This approach enhances efficiency and reduces the need for manual oversight. The key components of Autonomic Computing include self-configuration, self-healing, self-optimization, and self-protection. By integrating these features, systems can autonomously manage resources, detect and fix issues, improve performance, and safeguard against security threats, ultimately leading to more reliable and resilient computing environments.