Why might a customer prefer auto-scaling services in RelativityOne?

Choosing auto-scaling services in RelativityOne primarily appeals to customers seeking to ensure constant server availability. Auto-scaling enables the system to automatically adjust its resources to match demand, which means that during periods of increased usage, additional servers can be provisioned to maintain performance and availability. This is particularly critical for workloads that may experience sudden spikes, ensuring that the system can handle those demands without any disruptions or downtime.

While reducing manual labor, saving on costs during low usage, and enhancing data security are important considerations, the core advantage of auto-scaling in the context given is its role in maintaining consistent server availability. The ability to respond dynamically to workload demands prevents performance bottlenecks and enhances user experience, making it a priority for effective data management in RelativityOne.