Monitoring time is tricky given its fluid nature. Doing so across distributed database hosts is trickier. Latency, probe intervals, clock synchronization, all affect the metrics, and taking actions based on those metrics makes matters even more complex. How does one measure time? What is the baseline? What accuracy and tradeoffs can we expect? Can we use time itself to affect the outcome? At GitHub, we monitor time in our database topologies for throttling and consistent reads purposes. We present our use case and our findings.