-
StatsD operates over UDP, which removes the risk of carbon-aggregator.py being slow to respond and introducing latency in your application. In other words, loose coupling.
-
StatsD supports sampling of inbound metrics, which is useful when you don’t want your aggregator to take 100% of all data points to compute descriptive statistics. For high-volume code sections, it is common to use 0.5%-1% sample rates so as to not overload StatsD.
-
StatsD has broad client-side support.