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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-02-08 07:31:03 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-02-08 07:31:03 +0000 |
commit | 50485bedfd9818165aa1d039d0abe95a559134b7 (patch) | |
tree | 79c7b08f67edcfb0c936e7a22931653b91189b9f /collectors/statsd.plugin/README.md | |
parent | Releasing debian version 1.11.1+dfsg-7. (diff) | |
download | netdata-50485bedfd9818165aa1d039d0abe95a559134b7.tar.xz netdata-50485bedfd9818165aa1d039d0abe95a559134b7.zip |
Merging upstream version 1.12.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | collectors/statsd.plugin/README.md | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/collectors/statsd.plugin/README.md b/collectors/statsd.plugin/README.md index 6ef038343..399918dc9 100644 --- a/collectors/statsd.plugin/README.md +++ b/collectors/statsd.plugin/README.md @@ -1,22 +1,20 @@ -# Netdata Statsd +# statsd.plugin statsd is a system to collect data from any application. Applications are sending 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. There is a [plethora of client libraries](https://github.com/etsy/statsd/wiki#client-implementations) for embedding statsd metrics to any application framework. This makes statsd quite popular for custom application metrics. -## netdata statsd - netdata is a fully featured statsd server. It can collect statsd formatted metrics, visualize them on its dashboards, stream them to other netdata servers or archive them to backend time-series databases. -netdata statsd is inside netdata (an internal plugin, running inside the netdata daemon), it is configured via `netdata.conf` and by-default listens on standard statsd ports (tcp and udp 8125 - yes, netdata statsd server supports both tcp and udp at the same time). +Netdata statsd is inside Netdata (an internal plugin, running inside the Netdata daemon), it is configured via `netdata.conf` and by-default listens on standard statsd ports (tcp and udp 8125 - yes, Netdata statsd server supports both tcp and udp at the same time). -Since statsd is embedded in netdata, it means you now have a statsd server embedded on all your servers. So, the application can send its metrics to `localhost:8125`. This provides a distributed statsd implementation. +Since statsd is embedded in Netdata, it means you now have a statsd server embedded on all your servers. So, the application can send its metrics to `localhost:8125`. This provides a distributed statsd implementation. -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 (yes, it is single threaded - actually double-threaded, one thread collects metrics, another one updates the charts from the collected data). +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 (yes, it is single threaded - actually double-threaded, one thread collects metrics, another one updates the charts from the collected data). -## metrics supported by netdata +## Metrics supported by Netdata -netdata fully supports the statsd protocol. All statsd client libraries can be used with netdata too. +Netdata fully supports the statsd protocol. All statsd client libraries can be used with Netdata too. - **Gauges** @@ -521,3 +519,5 @@ statsd "metric1:10|g" "metric2:10|c" ... ``` The function is smart enough to call `nc` just once and pass all the metrics to it. It will also automatically switch to TCP if the metrics to send are above 1000 bytes. + +[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fcollectors%2Fstatsd.plugin%2FREADME&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)]() |