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authorDaniel Baumann <daniel.baumann@progress-linux.org>2022-01-26 18:05:10 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2022-01-26 18:05:10 +0000
commit34a0b66bc2d48223748ed1cf5bc1b305c396bd74 (patch)
treefbd36be86cc6bc4288fe627f2b5beada569848bb /collectors/statsd.plugin/README.md
parentAdding upstream version 1.32.1. (diff)
downloadnetdata-34a0b66bc2d48223748ed1cf5bc1b305c396bd74.tar.xz
netdata-34a0b66bc2d48223748ed1cf5bc1b305c396bd74.zip
Adding upstream version 1.33.0.upstream/1.33.0
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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1 files changed, 2 insertions, 4 deletions
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@@ -4,8 +4,6 @@ description: "The Netdata Agent is a fully-featured StatsD server that collects
custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/README.md
-->
-# statsd.plugin
-
StatsD is a system to collect data from any application. Applications send metrics to it, usually via non-blocking UDP communication, and StatsD servers collect these metrics, perform a few simple calculations on them and push them to backend time-series databases.
If you want to learn more about the StatsD protocol, we have written a [blog post](https://www.netdata.cloud/blog/introduction-to-statsd/) about it!
@@ -19,7 +17,7 @@ Since statsd is embedded in Netdata, it means you now have a statsd server embed
Netdata statsd is fast. It can collect more than **1.200.000 metrics per second** on modern hardware, more than **200Mbps of sustained statsd traffic**, using 1 CPU core. The implementation uses two threads: one thread collects metrics, another one updates the charts from the collected data.
-# Available StatsD collectors
+## Available StatsD collectors
Netdata ships with collectors implemented using the StatsD collector. They are configuration files (as you will read below), but they function as a collector, in the sense that configuration file organize the metrics of a data source into pre-defined charts.
@@ -532,7 +530,7 @@ Using the client library by [sivy/node-statsd](https://github.com/sivy/node-stat
You can also use StatsD with:
- Golang, thanks to [alexcesaro/statsd](https://github.com/alexcesaro/statsd)
- Ruby, thanks to [reinh/statsd](https://github.com/reinh/statsd)
-- Java, thanks to [DataDog/java-docstatsd-client](https://github.com/DataDog/java-dogstatsd-client)
+- Java, thanks to [DataDog/java-dogstatsd-client](https://github.com/DataDog/java-dogstatsd-client)
### Shell