Which method allows systems to share resources and workloads to enhance performance?

Clustering is the method that allows systems to share resources and workloads to enhance performance. In a clustering arrangement, multiple servers or systems work together as a single unit, enabling them to distribute tasks among themselves. This not only improves performance by ensuring that no single server is overwhelmed with too many tasks but also increases availability and reliability. Should one server in the cluster fail, the others can take over its workload, ensuring continuous operation.

Load balancing is related to clustering but specifically refers to the process of distributing incoming network traffic across multiple servers. While it enhances performance by ensuring that no single server is overloaded with requests, it does not inherently involve the sharing of workloads in the same way that clustering does.

Redundancy relates to having duplicate components to increase reliability and availability but does not specifically improve performance by sharing workloads.

Replication involves copying data from one location to another to ensure data availability and fault tolerance, but it does not contribute directly to the sharing of resources for performance enhancement.

Therefore, clustering is the most appropriate answer for systems that need to share resources and workloads to enhance overall performance effectively.