![]() We could try to invest time in writing a datadog-exporter for Prometheus, or an input plugin for telegraf.This seems like low hanging fruit, but we would want to validate this all works well first. We can document how to utilize dogstats-d instrumented applications with Prometheus/GitLab, by swapping out dogstatsd for statsd-exporter.Or potentially if the Datadog library is higher quality than the Prometheus library. It is important to note that this will cause metrics to stop being sent to Datadog, so it will primarily be useful for people looking to migrate from Datadog to Prometheus without having to re-instrument. This means that you can install and use the statsd-exporter in place of dogstatsd, and get Prometheus metrics out of an application that was instrumented for Datadog using their libraries. Interestingly, the Prometheus statsd-exporter supports the datadog extensions to statsd, and converts them to Prometheus labels. This library will generate dogstatsd compatible UDP packets, and try to send them to localhost:8125, which is where the dogstatsd agent would normally be listening. For example, in the case of Ruby, you can generate the statsd metrics using dogstatsd-ruby library. It requires you to instrument your own application. dogstatsdĭogstatsd is responsible for sending custom application metrics up to datadog, and uses a fork of the statsd protocol. However to do this, it calls the Datadog webhook API rather than support the native protocol. A very common service for this, telegraf, only supports outputting to datadog. The protocol appears to be undocumented, I was not able to find docs or source code.Īlso, there does not seem to be any existing libraries that can do translation to other formats. It is also possible to instrument your own application with this agent using python checks. This is the primary metrics generation source for Datadog, and is what powers all of their integrations. Let's tackle these metrics agents individually. It would be great however if we could leverage these and get it to send metrics to Prometheus. Interestingly, Datadog already supports scraping Prometheus instrumented applications: It has a massive number of integrations for grabbing system metrics, and is relatively easy to instrument your code with. The self-hosted gateway supports StatsD, which has become a unifying protocol for metrics collection and aggregation.This section walks through the steps for deploying StatsD to Kubernetes, configuring the gateway to emit metrics via StatsD, and using Prometheus to monitor the metrics. ![]() (For the full list of metrics, see Available Metrics). Then taking the same name of the metric and sending it to statsd from the shell - and the counter increments.Datadog has a set of open source agents, datadog-agent and dogstatsd, that are responsible for sending metrics from a system up to the Datadog service. To enable the StatsD receiver, add the name under the receiver section in the config file (local/config.yaml).By default, the receiver listens address localhost:8125, collects all metrics and aggregate the metrics in 60s.The transport can only be udp. Means that even if I send the same metric 10 times, it'll still display 1.
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