We prove a monotonicity result for the problem of optimal service rate control in certain queueing networks. Consider, as an illustrative example, a number pf $\cdot/M/1$ queues which are arranged in a cycle with some number of customers moving around the cycle. A holding cost $h_i(x_i)$ is charged for each unit of time that queue $i$ contains $x_i$ customers, with $h_i$ being convex. As a function of the queue lengths the service rate at each queue $i$ is to be chosen in the interval $[0,\bar{\mu}]$, where the cost $c_i(\mu)$ is charged for each unit of time that the service rate $\mu$ is in effect at queue $i$. It is shown that the policy which minimizes the expected total discounted cost has a monotone structure: namely, that by moving one customer from queue $i$ to the following queue, the optimal service rate at queue $i$ is not increased and the optimal service rates elsewhere are not decreased. We prove a similar result for problems of optimal arrival rate and service rate control in general queueing networks. The results are extended to an average-cost measure, and an example is included to show that in general the assumption of convex holding costs may not be relaxed. A further example shows that the optimal policy may not be monotone unless the choice of possible service rates at each queue includes $0$.