Docker and system monitoring (nodeexporter v1.3.1)

A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)

Docker and system monitoring (nodeexporter v1.3.1) screenshot 1

This is a fork of https://grafana.com/grafana/dashboards/893 with some panels updated for to account for changes in newer versions of prom/node-exporter.

Docker + System dashboard

Dashboard compatible with Grafana 4

System metric

This dashboard display Docker and system metric, the aim it’s to have all the metric on one dashboard. The first lines represents the system metric with gauge and text/graph (easy to visualize and minimalist).

Time up
Memory usage/swap
Disk usage
Load
Network
CPU usage
Disk I/O

Alerts are set on disk usage, memory usage and load usage to warn when the metric are critics.

Docker metric

The second parts of the dashboard is Docker metric, more detailed using mostly graph.

CPU usage per container
Sent network per container
Received network per container
Memory usage/swap per container
Remaining memory for each container (if men_limit defined in docker-compose.yml)

Server configuration

I use the docker-compose to set my monitoring: https://github.com/vegasbrianc/prometheus. My dashboard work with this configuration. Service running:

docker
prometheus
node-exporter
alertmanager
cadvisor
grafana

Install with docker-compose.yml

docker-compose.yml

yml
prometheus:
    image: prom/prometheus:latest
    container_name: monitoring_prometheus
    restart: unless-stopped
    volumes:
      - ./data/prometheus/config:/etc/prometheus/
      - ./data/prometheus/data:/prometheus
    command:
      - '-config.file=/etc/prometheus/prometheus.yml'
      - '-storage.local.path=/prometheus'
      - '-alertmanager.url=http://alertmanager:9093'
    expose:
      - 9090
    ports:
      - 9090:9090
    links:
      - cadvisor:cadvisor
      - node-exporter:node-exporter

  node-exporter:
    image: prom/node-exporter:latest
    container_name: monitoring_node_exporter
    restart: unless-stopped
    expose:
      - 9100

  cadvisor:
    image: google/cadvisor:latest
    container_name: monitoring_cadvisor
    restart: unless-stopped
    volumes:
      - /:/rootfs:ro
      - /var/run:/var/run:rw
      - /sys:/sys:ro
      - /var/lib/docker/:/var/lib/docker:ro
    expose:
      - 8080
  
  grafana:
    image: grafana/grafana:latest
    container_name: monitoring_grafana
    restart: unless-stopped
    links:
      - prometheus:prometheus
    volumes:
      - ./data/grafana:/var/lib/grafana
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=MYPASSWORT
      - GF_USERS_ALLOW_SIGN_UP=false
      - GF_SERVER_DOMAIN=myrul.com
      - GF_SMTP_ENABLED=true
      - GF_SMTP_HOST=smtp.gmail.com:587
      - GF_SMTP_USER=myadrress@gmail.com
      - GF_SMTP_PASSWORD=mypassword
      - GF_SMTP_FROM_ADDRESS=myaddress@gmail.com

prometheus.yml

yml
# my global config
global:
  scrape_interval:     120s # By default, scrape targets every 15 seconds.
  evaluation_interval: 120s # By default, scrape targets every 15 seconds.
  # 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: 'my-project'

# Load and evaluate rules in this file every 'evaluation_interval' seconds.
rule_files:
  # - "alert.rules"
  # - "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'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 120s

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
         - targets: ['localhost:9090','cadvisor:8080','node-exporter:9100', 'nginx-exporter:9113']

Start your docker

Run docker-compose up -d
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Get this dashboard

Import the dashboard template

or

Download JSON

Datasource
Dependencies