Deploy Prometheus With Docker
Create Prometheus Config
Create a file called prometheus.yml
with the following contents:
# my global config
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ['localhost:9090']
... or run the following command to download the example from Github.
wget https://raw.githubusercontent.com/prometheus/prometheus/master/documentation/examples/prometheus.yml
Create Data Volume Directory
Now we need to create a directory that will act as a volume for our Prometheus container. That way all state will persist across reboots.
mkdir $HOME/prometheus-data
chmod 777 $HOME/prometheus-data
Deploy!
Now run the following container to deploy your prometheus service:
docker run \
-p 80:9090 \
--volume $HOME/prometheus.yml:/etc/prometheus/prometheus.yml \
--volume $HOME/prometheus-data:/prometheus \
prom/prometheus
9090
.
Conclusion
You now have a prometheus server deployed. Later we will learn how to deploy an exporter to "scrape" from, and how to add authentication.
Last updated: 22nd January 2020
First published: 22nd January 2020
First published: 22nd January 2020