Clustering is a technique that groups multiple servers or nodes together to act as one system, providing high availability, scalability, and load balancing for applications or services. Clustering can improve system resiliency, which is the ability of a system to withstand or recover from failures or disruptions without compromising its functionality or performance. Clustering can achieve this by providing redundancy and fault tolerance for critical components or processes, enabling automatic failover and recovery in case of node failures, distributing workload among multiple nodes to avoid overloading or bottlenecks, and allowing dynamic addition or removal of nodes to meet changing demand or capacity needs. Clustering may also decrease system response time by improving performance and efficiency through load balancing and parallel processing, but this is not its primary purpose. Clustering may facilitate faster backups by enabling concurrent backup operations across multiple nodes, but this is not its main benefit. Clustering may improve the recovery time objective (RTO), which is the maximum acceptable time for restoring a system or service after a disruption, by reducing the downtime and data loss caused by failures, but this is not the best reason for using clustering, as there may be other factors that affect the RTO, such as backup frequency, recovery procedures, and testing methods.