Which of the following methods can be used to send custom metrics to Datadog?

Sending custom metrics to Datadog can be accomplished using various methods, one of which is StatsD. StatsD is a network daemon that listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates them to Datadog. Developers can leverage StatsD to send real-time metrics from their applications without having to modify the application codebase significantly.

When using StatsD, developers can send metrics such as counters for the number of requests, timing how long a particular function takes, or gauge metrics that indicate things like active users. This provides a flexible way to gather performance and usage metrics efficiently.

While the other options, like the Datadog Agent and DogStatsD, can also be utilized to send metrics, StatsD stands out for its simplicity and speed in relaying many metrics over a lightweight protocol. Datadog CLI, while useful for certain tasks, primarily focuses on interacting with Datadog and wouldn’t be as effective for sending numerous real-time custom metrics directly compared to StatsD.