Like, suppose you had a specific service level agreement that requires X% of requests to be served within Y seconds over some time interval, and breaking the SLA costs Z dollars. Each provisioning level would generate some distribution of latencies, which can get turned into likelihood of meeting the SLA, and from there you can put a dollar value on it. And crucially, this allows the "ideal" amount of provisioning to vary based off the relative cost of over and under-provisioning; if workers are cheap and breaking the SLA is costly, you would have more workers than if the SLA is relatively unimportant and workers are expensive.