What provisioning model is used if data is added quickly and often and requires consistent performance?

The appropriate provisioning model in scenarios where data is added rapidly and consistently needs maintained performance is thick provisioning. Thick provisioning involves allocating a fixed amount of storage to a virtual machine or application upfront, regardless of its immediate needs. This approach ensures that the necessary resources are always available, which is vital for workloads with high demand and frequent data write operations.

By using thick provisioning, organizations can guarantee consistent performance levels, as the required storage is already allocated and doesn’t rely on on-the-fly allocation or adjustments that could introduce latency. This reliability in storage performance contributes to a smoother user experience, especially in environments that experience high data inflow.

On the other hand, thin provisioning, while efficient in space usage, might lead to performance degradation if the storage resources are not sufficient to meet the demands at peak times. Overprovisioning, although it can seem similar at first glance, typically implies allocating more resources than necessary; this may not necessarily focus on the consistency of performance. Lastly, encryption is unrelated to provisioning methods and instead deals with the security of data. Thus, thick provisioning is the most suitable answer for the requirements outlined in the question.