What does redundancy in computing often involve?

Redundancy in computing typically involves duplicating critical system components or functions to ensure that there is a backup available in case the primary component fails. This redundancy is crucial for increasing the reliability and availability of systems, especially in environments where uptime is essential. For example, in server systems, redundancy might manifest as having multiple hard drives, known as RAID configurations, or using load balancers to distribute workloads across multiple servers, ensuring that if one server goes down, others can take over seamlessly.

This approach helps to prevent data loss and service interruption, creating a more robust system that can withstand hardware failures or unexpected issues without disrupting the end user's experience. Redundancy is a core principle in designing systems that require high availability and is commonly utilized in data centers, network infrastructure, and critical application environments.