Monitor Docker resource metrics with Grafana, InfluxDB, and Telegraf

Datetime:2016-08-24 12:28:14         Topic: Docker          Share        Original >>
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I needed a way to monitor Docker resource usage and metrics (CPU, Memory, Network, Disk). I also wanted historical data, and ideally, pretty graphs that I could navigate and drill into.

Whatever the solution was going to be, it had to be very open and customizable, easy to setup and scale for a production-like environment (stability, size), and ideally cheap/free. But most of all — it had to make sense and really be straight forward.

3 Containers and 10 minutes is all you need

To get this:

There are 3 components that are started via containers:

Grafana (dashboard/visual metrics and analytics)

InfluxDB (time-series DB)

Telegraf (time-series collector) – 1 per Docker host

The idea is that you first launch Grafana, and then launch InfluxDB. You configure Grafana (via the web) to point to InfluxDB’s IP, and then you setup a Telegraf container on each Docker host that you want to monitor. Telegraf collects all the metrics and feeds them into a central InfluxDB, and Grafana displays them.

Setup Tutorial/Examples

In our example, we have a bunch of servers running Docker:

vm01, vm02, vm03 [VM IPs do not matter in this case]

A “data” folder (/data) on each vm for the data mounts.

And we create an empty folder for each container: “/data/grafana”, “/data/influxdb”, “/data/telegraf”

A common network overlay or macvlan network (docker 1.12+) — we use the name “someNetworkName”

Static IPs (either via “–ip” directly, or something like pipework)

We will launch Grafana and InfluxDB on vm01, and a Telegraf container on vm01, vm02, and vm03.

Grafana (

InfluxDB (

Telegraf ( on vm01, on vm02, and on vm03)


Beautiful metric and analytics dashboard. Ideal for visualization and querying of time series data.

This is the first container you will launch on vm01:

(note: you are mounting the dirs so that you can access/change the configs, and data that is generated. Dirs can be empty)

dockerrun --restart=always -d --net=someNetworkName --ip= \
 --namegrafana \
 --hostnamegrafana \
 -v /data/grafana/var/lib/grafana:/var/lib/grafana \
 -v /data/grafana/etc/grafana:/etc/grafana \
 -v /data/grafana/var/log/grafana:/var/log/grafana \
 -p 3000:3000 \
 -e "GF_SECURITY_ADMIN_PASSWORD=somepasswordhere"  \


Time-series data storage. A database designed for time-series data. Very easy to use, and feeds data into Grafana. It can accept data from many tools, specifically collectors like Telegraf.

First generate a config file:

dockerrun --rminfluxdbinfluxdconfig > /data/influxdb/influxdb.conf

Then run the container as your second container on vm01:

dockerrun --restart=always -d --net=someNetworkName --ip= \
 --name=influxdb \
 --hostname=influxdb \
 -p 8083:8083 -p 8086:8086 \
 -v /data/influxdb:/var/lib/influxdb \
 -v /data/influxdb/influxdb.conf:/etc/influxdb/influxdb.conf:ro \
 influxdb -config /etc/influxdb/influxdb.conf


Time-series data collection. This uses a config to know what data to collect and where to feed it.

First generate a config file:

dockerrun --rmtelegraf -sample-config > /data/telegraf/telegraf.conf

Edit the config and just enable the Docker portion (uncomment the “[[inputs.docker]]” section until the timeout)

Then run the container as your third container on vm01 (and later on vm02, and vm03, with changes bellow code):

dockerrun -d --restart=always --net=admin01 --ip= \
 --name=stats-s01 \
 --hostname=vm01 \
 -e "HOST_PROC=/rootfs/proc" \
 -e "HOST_SYS=/rootfs/sys" \
 -e "HOST_ETC=/rootfs/etc" \
 -v /data/telegraf/telegraf.conf:/etc/telegraf/telegraf.conf:ro \
 -v /var/run/docker.sock:/var/run/docker.sock:ro \
 -v /sys:/rootfs/sys:ro -v /proc:/rootfs/proc:ro 


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