Grafana

macOS, Docker, Prometheus and Grafana

I like Grafana … the dashboards are just cool! Here (again) a tutorial about docker monitoring. In less minutes you should be done. As a comment … for Linux and Windows you can do that too! There are only partial changes.

Prepare Project

# create project
$ mkdir -p ~/Projects/DPG && cd ~/Projects/DPG

# show current IP
$ ifconfig | grep "inet " | grep -v 127.0.0.1

# create and edit prometheus.yml
$ vim prometheus.yml

Replace <yourLocalIP> with your IP. On Docker website you can find templates for Linux and Windows, too!

# 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).

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
      monitor: 'codelab-monitor'

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first.rules"
  # - "second.rules"

# 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']

  - job_name: 'docker'
         # metrics_path defaults to '/metrics'
         # scheme defaults to 'http'.

    static_configs:
      - targets: ['<yourLocalIP>:9323']

Configure Docker

This step is very easy. Just open Docker “Preferences” and specify in section “Daemon” -> “Advanced” the metrics-address. Just ensure that you use valid JSON!

macOS Docker Metrics

When you are done, press “Apply and Restart” button.

# view Docker metrics in browser
$ open -a Safari http://127.0.0.1:9323/metrics

Prepare Prometheus

# run Prometheus
$ docker run --name prometheus -p 9090:9090 -v $PWD/prometheus.yml:/etc /prometheus/prometheus.yml prom/prometheus

# open Prometheus WebUI
$ open -a Safari http://localhost:9090/targets

# get Prometheus IP
$ docker inspect --format '{{ .NetworkSettings.IPAddress }}' prometheus

Note: The space after /etc is just because of security settings of my provider! Please remove the space.

prometheus WebUI

Just for fun you can create already some graphs in Prometheus.

prometheus Graph

Prepare and run Grafana

# run Grafana
$ docker run --name grafana -i -p 3000:3000 grafana/grafana

# open Grafana WebUI and login (admin:admin)
$ open -a Safari http://localhost:3000

After login (admin:admin) configure new DataSource for Prometheus.

Grafana DataSource Prometheus

Import Dashboard (ID: 1229)

Grafana Import Dashboard

… enter ID 1229 …

Grafana Dashboard Search

… be patient (don’t press any button) …

Docker Engine Metrics Dashboard

Select already created DataSource (Prometheus) and press “Import” button. Now you should see the awesome Grafana Dashboard.

Jenkins, InfluxDB and Grafana

Today an basic introduction to Jenkins, InfluxDB and Grafana. Docker is used to save some time. Okay,… let’s start.

Preparation

# create project and change directory
$ mkdir ~/Projects/JIG/influxdb && cd ~/Projects/JIG/

# download official jenkins image (latest)
$ docker pull jenkins

# download official influxdb image (latest)
$ docker pull influxdb

# download official grafana image (latest)
$ docker pull grafana/grafana

# list docker images
$ docker images
...
REPOSITORY          TAG                 IMAGE ID            CREATED             SIZE
jenkins             latest              59b08e8f6e37        4 days ago          704 MB
grafana/grafana     latest              2cdb407c0fa4        7 days ago          286 MB
influxdb            latest              fad81160f2de        13 days ago         224 MB
...

Jenkins preparation

# start Jenkins
$ docker run --name jenkins -p 8080:8080 jenkins

# copy password from cli
...
*************************************************************

Jenkins initial setup is required. An admin user has been created and a password generated.
Please use the following password to proceed to installation:

b49ffa5749724d61b43d3a159b181133
...

Now open your favorite browser with URL http://localhost:8080 and unlook Jenkins with following steps.

unlook jenkins

  1. unlook with password from cli
  2. install suggested plugins
  3. create your admin user
  4. start using jenkins

Next, the InfluxDB plug-in must be installed.

influxdb plugin jenkins

InfluxDB preparation

# start InfluxDB
$ docker run --name influxdb -p 8086:8086 -v $PWD/influxdb:/var/lib/influxdb influxdb

# check current configuration (optional)
$ docker exec -i influxdb influxd config

# create new user
$ curl -G http://localhost:8086/query --data-urlencode "q=CREATE USER jenkins WITH PASSWORD 'password123' WITH ALL PRIVILEGES"

# create database for jenkins
$ curl -G http://localhost:8086/query -u jenkins:password123 --data-urlencode "q=CREATE DATABASE jenkins_db"

# show users (optional)
$ curl -G http://localhost:8086/query -u jenkins:password123 --data-urlencode "q=SHOW USERS"
...
{"results":[{"statement_id":0,"series":[{"columns":["user","admin"],"values":[["jenkins",true]]}]}]}
...

# show databases (optional)
$ curl -G http://localhost:8086/query -u jenkins:password123 --data-urlencode "q=SHOW DATABASES"
...
{"results":[{"statement_id":0,"series":[{"name":"databases","columns":["name"],"values":[["_internal"],["jenkins_db"]]}]}]}
...

# show measurements
$ curl -G http://localhost:8086/query -u jenkins:password123 --data-urlencode "db=jenkins_db" --data-urlencode "q=SHOW MEASUREMENTS"
...
{"results":[{"statement_id":0}]}
...

Connect Jenkins with InfluxDB

# start jenkins container (if stopped)
$ docker start jenkins

# show ip of influxdb container
$ docker inspect --format '{{ .NetworkSettings.IPAddress }}' influxdb
...
172.17.0.2
...

Add new InfluxDB target on Jenkins

jenkins influxdb settings

Save and create a new freestyle job. For example with following configuration.

jenkins job influxdb

When you are done, run the job.

# show measurements
$ curl -G http://localhost:8086/query -u jenkins:password123 --data-urlencode "db=jenkins_db" --data-urlencode "q=SHOW MEASUREMENTS"
...
{"results":[{"statement_id":0,"series":[{"name":"measurements","columns":["name"],"values":[["jenkins_data"]]}]}]}
...

# run select statement (optional)
$ curl -G http://localhost:8086/query -u jenkins:password123 --data-urlencode "db=jenkins_db" --data-urlencode "q=SELECT * FROM jenkins_data"
...
{"results":[{"statement_id":0,"series":[{"name":"jenkins_data","columns":["time","build_number","build_result","build_result_ordinal","build_status_message","build_successful","build_time","last_stable_build","last_successful_build","project_build_health","project_name","project_name_1"],"values":[["2017-06-08T17:27:24.487Z",9,"SUCCESS",0,"stable",true,16,9,9,100,"test","test"]]}]}]}
...

Add Grafana

# start containers (if stopped)
$ docker start influxdb && docker start jenkins

# run grafana container
$ docker run --name grafana -i -p 3000:3000 grafana/grafana

Open you browser with URL http://localhost:3000, login with credentials (admin/admin) and add a new InfluxDB data source.

grafana data source

From now on, you can create and share dashboards in Grafana, which shows all Jenkins metrics.