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New to netdata? Check its demo: http://my-netdata.io/
netdata supports backends for archiving the metrics, or providing long term dashboards, using grafana or other tools, like this:
Since netdata collects thousands of metrics per server per second, which would easily congest any backend server when several netdata servers are sending data to it, netdata allows sending metrics at a lower frequency. So, although netdata collects metrics every second, it can send to the backend servers averages or sums every X seconds (though, it can send them per second if you need it to).
plaintext interface, used by Graphite, InfluxDB, KairosDB, Blueflood, etc)
metrics are sent to the backend server as
prefixis configured below,
hostnameis the hostname of the machine (can also be configured).
telnet interface, used by OpenTSDB, InfluxDB, KairosDB, etc)
metrics are sent to opentsdb as
Only one backed may be active at a time.
All metrics are transferred to the backend - netdata does not implement any metric filtering.
Three modes of operation (for all backends):
as collected: the latest collected value is sent to the backend. This means that if netdata is configured to send data to the backend every 10 seconds, only 1 out of 10 values will appear at the backend server. The values are sent exactly as collected, before any multipliers or dividers applied and before any interpolation. This mode emulates other data collectors, such as
average: the average of the interpolated values shown on the netdata graphs is sent to the backend. So, if netdata is configured to send data to the backend server every 10 seconds, the average of the 10 values shown on the netdata charts will be used. If you can't decide which mode to use, use
volume: the sum of the interpolated values shown on the netdata graphs is sent to the backend. So, if netdata is configured to send data to the backend every 10 seconds, the sum of the 10 values shown on the netdata charts will be used.
This code is smart enough, not to slow down netdata, independently of the speed of the backend server.
/etc/netdata/netdata.conf you should have something like this (if not download the latest version of
netdata.conf from your netdata):
[backend] # enabled = no # type = graphite # destination = localhost # data source = average # prefix = netdata # hostname = my-name # update every = 10 # buffer on failures = 10 # timeout ms = 20000
enabled = yes/no, enables or disables sending data to a backend
type = graphiteor
type = opentsdb, selects the backend type
destination = host, accepts a space separated list of hostnames, IPs (IPv4 and IPv6) and ports to connect to. Netdata will use the first available to send the metrics.
The format of each item in this list, is:
tcpis the default and only supported by the current backends.
[XX:XX...XX:XX](IPv6). For IPv6 you can to enclose the IP in
to separate it from the port.
PORTcan be a number of a service name. If omitted, the default port for the backend will be used (graphite = 2003, opentstb = 4242).
destination = 10.11.14.2:4242 10.11.14.3:4242 10.11.14.4:4242
Example IPv6 and IPv4 together:
destination = [ffff:...:0001]:2003 10.11.12.1:2003
When multiple servers are defined, netdata will try the next one when the first one fails. This allows you to load-balance different servers: give your backend servers in different order on each netdata.
data source = as collected, or
data source = average, or
data source = sum, selects the kind of data that will be sent to the backend.
hostname = my-name, is the hostname to be used for sending data to the backend server. By default this is
prefix = netdata, is the prefix to add to all metrics.
update every = 10, is the number of seconds between sending data to the backend. netdata will add some randomness to this number, to prevent stressing the backend server when many netdata servers send data to the same backend. This randomness does not affect the quality of the data, only the time they are sent.
buffer on failures = 10, is the number of iterations (each iteration is
[backend].update everyseconds) to buffer data, when the backend is not available. If the backend fails to receive the data after that many failures, data loss on the backend is expected (netdata will also log it).
timeout ms = 20000, is the timeout in milliseconds to wait for the backend server to process the data. By default this is
2 * update_every * 1000.
netdata provides 5 charts:
- Buffered metrics, the number of metrics netdata added to the buffer for dispatching them to the backend server.
- Buffered data size, the amount of data (in KB) netdata added the buffer.
Backend latency, the time the backend server needed to process the data netdata sent. If there was a re-connection involved, this includes the connection time.(this chart has been removed, because it only measures the time netdata needs to give the data to the O/S - since the backend servers do not ack the reception, netdata does not have any means to measure this properly)
- Backend operations, the number of operations performed by netdata.
- Backend thread CPU usage, the CPU resources consumed by the netdata thread, that is responsible for sending the metrics to the backend server.
The latest version of the alarms configuration for monitoring the backend is here: https://github.com/firehol/netdata/blob/master/conf.d/health.d/backend.conf
netdata adds 4 alarms:
backend_last_buffering, number of seconds since the last successful buffering of backend data
backend_metrics_sent, percentage of metrics sent to the backend server
backend_metrics_lost, number of metrics lost due to repeating failures to contact the backend server
(this was misleading and has been removed).
backend_slow, the percentage of time between iterations needed by the backend time to process the data sent by netdata
adding more backends
netdata already has the code to connect to a TCP socket and send data: https://github.com/firehol/netdata/blob/master/src/backends.c
To add new backends you will have to provide:
Functions to construct the part of the message for each metric. This is an example for
A function to process the response from the backend (any any). This is an example for
3 Add the new backend at the configuration selection. This is an example for
By providing such code, netdata can send its metrics to any other TCP-based backend.
Keep in mind that the existing code is uni-directional. netdata only checks that the backend server received the data stream with the metrics. It does not have any means the verify the backend server did something with them.
InfluxDB setup as netdata backend (example)
You can find blog post with example: how to use InfluxDB with netdata here
Also you can reuse grafana dashboard setups for netdata and for lxd containers on netdata host:
InfluxDB backend used in dashboards above, but you can easily edit json files for another backend, and also you can reuse lxd container dashboard for lxc containers.