Docker¶
Installing docker¶
We recommend installing Docker Community Edition (CE) according to the official docker engine installation guide.
Initial configuration¶
sudo mkdir -p /etc/faucet
sudo vi /etc/faucet/faucet.yaml
sudo vi /etc/faucet/gauge.yaml
See Installation and Configuration for configuration options.
In particular, see vendor specific docs for additional files that may be necessary in /etc/faucet to configure the switch pipeline.
Official builds¶
We provide official automated builds on Docker Hub so that you can run Faucet easily without having to build your own.
We use Docker tags to differentiate between versions of Faucet. The latest
tag will always point to the latest stable release of Faucet. All tagged
versions of Faucet in git are also available to use, for example using the
faucet/faucet:1.8.0
Docker will run the released version 1.8.0 of Faucet.
By default the Faucet and Gauge images are run as the faucet user under
UID 0, GID 0. If you need to change that it can be overridden at runtime with
the Docker flags: -e LOCAL_USER_ID
and -e LOCAL_GROUP_ID
.
To pull and run the latest version of Faucet:
mkdir -p /var/log/faucet/
docker pull faucet/faucet:latest
docker run -d \
--name faucet \
--restart=always \
-v /etc/faucet/:/etc/faucet/ \
-v /var/log/faucet/:/var/log/faucet/ \
-p 6653:6653 \
-p 9302:9302 \
faucet/faucet
Port 6653 is used for OpenFlow, port 9302 is used for Prometheus - port 9302 may be omitted if you do not need Prometheus.
To pull and run the latest version of Gauge:
mkdir -p /var/log/faucet/gauge/
docker pull faucet/gauge:latest
docker run -d \
--name gauge \
--restart=always \
-v /etc/faucet/:/etc/faucet/ \
-v /var/log/faucet/:/var/log/faucet/ \
-p 6654:6653 \
-p 9303:9303 \
faucet/gauge
Port 6654 is used for OpenFlow, port 9303 is used for Prometheus - port 9303 may be omitted if you do not need Prometheus.
Additional Arguments¶
You may wish to run faucet under docker with additional arguments, for example: setting certificates for an encrypted control channel. This can be done by overriding the docker entrypoint like so:
docker run -d \
--name faucet \
--restart=always \
-v /etc/faucet/:/etc/faucet/ \
-v /etc/ryu/ssl/:/etc/ryu/ssl/ \
-v /var/log/faucet/:/var/log/faucet/ \
-p 6653:6653 \
-p 9302:9302 \
faucet/faucet \
faucet \
--ctl-privkey /etc/ryu/ssl/ctrlr.key \
--ctl-cert /etc/ryu/ssl/ctrlr.cert \
--ca-certs /etc/ryu/ssl/sw.cert
You can get a list of all additional arguments faucet supports by running:
docker run -it faucet/faucet faucet --help
Docker compose¶
This is an example docker-compose file that can be used to set up gauge to talk to Prometheus and InfluxDB with a Grafana instance for dashboards and visualisations.
It can be run with:
docker-compose pull
docker-compose up
The time-series databases with the default settings will write to
/opt/prometheus/
/opt/influxdb/shared/data/db
you can edit these locations
by modifying the docker-compose.yaml
file.
On OSX, some of the default shared paths are not accessible, so to overwrite
the location that volumes are written to on your host, export an environment
varible name FAUCET_PREFIX
and it will get prepended to the host paths.
For example:
export FAUCET_PREFIX=/opt/faucet
When all the docker containers are running we will need to configure Grafana to
talk to Prometheus and InfluxDB. First login to the Grafana web interface on
port 3000 (e.g http://localhost:3000) using the default credentials of
admin:admin
.
Then add two data sources. Use the following settings for prometheus:
Name: Prometheus
Type: Prometheus
Url: http://prometheus:9090
And the following settings for InfluxDB:
Name: InfluxDB
Type: InfluxDB
Url: http://influxdb:8086
With Credentials: true
Database: faucet
User: faucet
Password: faucet
Check the connection using test connection.
From here you can add a new dashboard and a graphs for pulling data from the
data sources. Hover over the +
button on the left sidebar in the web
interface and click Import
.
We will import the following dashboards, just download the following links and upload them through the grafana dashboard import screen: