The statsd_exporter can be configured to translate specific dot-separated StatsD The relay will flush the buffer at least once per second to avoid delaying delivery of metrics. This is useful to "tee" the data when migrating to using the exporter. The statsd_exporter has an optional mode that will buffer and relay incoming statsd lines to a remote server. The statsd_exporter has an optional lifecycle API (disabled by default) that can be used to reload or quit the exporterīy sending a PUT or POST request to the /-/reload or /-/quit endpoints. log.format=logfmt Output format of log messages. log.level=info Only log messages with the given severity orĪbove. Maximum relay output packet length to avoid fragmentation check-config Check configuration and exit. debug.dump-fsm="" The path to dump internal FSM generated for Maximum time between event queue flushes. Size of internal queue for processing events statsd.cache-type=lru Metric mapping cache type. Relies on least recently used replacement policy statsd.cache-size=1000 Maximum size of your metric mapping cache. Transmit read buffer associated with the UDP or Size (in bytes) of the operating system's statsd.mapping-config=STATSD.MAPPING-CONFIG The Unixgram socket path to receive statsd The TCP address on which to receive statsd The UDP address on which to receive statsd web.enable-lifecycle Enable shutdown and reload via HTTP request. The address on which to expose the web interface We could try to invest time in writing a datadog-exporter for Prometheus, or an input plugin for telegraf.-h, -help Show context-sensitive help (also try.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. 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.
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