1. Prometheus Overview
Prometheus is a combination of open source monitoring, alarming and time series databases. Suitable for monitoring Docker containers. Because the popularity of Kubernetes has driven the development of Prometheus,
official website: https://prometheus.io/
2. Time series data
1. What is sequence data?
Time Series Data: Data that records changes in system and equipment status in chronological order is called time series data.
There are many application scenarios: such as
- The longitude, latitude, speed, direction, distance to the side, etc. that need to be recorded during the operation of the driverless vehicle.
- Driving trajectory data of each vehicle in a certain area
- Real-time transaction data of traditional securities industry
- Real-time operation and maintenance monitoring data, etc.
2. Characteristics of time series data
- Good performance:
Relational databases have poor performance for processing large-scale data. NoSQL can handle large-scale data better, but it is still not as good as time series databases. - Low storage cost and
efficient compression algorithm, saving storage space and effectively reducing IO
3.Main features of Prometheus
- Multidimensional data model
- flexible query language
- Does not rely on distributed storage, individual server nodes are autonomous
- Use HTTP to pull time series data through the Pull model
- Push models can also be supported through intermediate gateways
- Discover target service objects through service discovery or static configuration
- Supports a variety of icons and interface displays
4. Prometheus principle architecture diagram
Service deployment steps (based on docker environment, deploy and monitor local containers and cross-local monitoring container resources)
Requires two virtual machines
The first
root@ubuntu20:~# docker pull google/cadvisor
Run container
root@ubuntu20:~# docker run \
> --volume=/var/run:/var/run:ro \
> --volume=/sys:/sys:ro \
> --volume=/var/lib/docker/:/var/lib/docker:ro \
> --volume=/dev/disk/:/dev/disk:ro \
> --publish=8080:8080 \
> --detach=true \
> --name=cadvisor \
> --privileged \
> --device=/dev/kmsg \
> google/cadvisor
View port status
Browser access
Come to the second channel
root@ubuntu20:~# docker run --volume=/:/rootfs:ro --volume=/var/run:/var/run:ro --volume=/sys/:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --volume=/dev/disk/:/dev/disk:ro --publish=8080:8080 --detach=true --name=cadvisor --privileged --device=/dev/kmsg google/cadvisor
Download image
Operations that must be performed on both hosts
root@ubuntu20:~# docker pull prom/node-exporter
The first:
Download image
root@ubuntu20:~# docker pull prom/Prometheus
root@ubuntu20:~# docker pull grafana/grafana
root@ubuntu20:~# docker run -d -p 9100:9100 --volume /proc/:/host/proc --volume /sys:/host/sys --volume /:/roofs --name node-exporter prom/node-exporter --path.procfs /host/proc --path.sysfs /host/sys --collector.filesystem.ignored-mount-points "^/(sys|proc|dev|host|etc)($$|/)"
View port status 
Second station:
Perform the same
docker run -d -p 9100:9100 --volume /proc/:/host/proc --volume /sys:/host/sys --volume /:/roofs --name node-exporter prom/node-exporter --path.procfs /host/proc --path.sysfs /host/sys --collector.filesystem.ignored-mount-points "^/(sys|proc|dev|host|etc)($$|/)"
View port
The first
root@ubuntu20:~# vim prometheus.yml
Add to:
global:
scrape_interval: 15s # By default, scrape targets every 15 seconds.
# Attach these labels to any time series or alerts when communicating with # external systems (federation, remote storage, Alertmanager).
external_labels:
monitor: 'codelab-monitor'
# 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'
static_configs:
- targets: ['192.168.0.143:9090','192.168.0.143:9100','192.168.0.143:8080','192.168.0.141:8080','192.168.0.141:9100']
run
root@ubuntu20:~# docker run -d -p 9090:9090 --volume /root/prometheus.yml:/etc/prometheus/prometheus.yml --name prometheus prom/Prometheus
View port
Browser access
http://192.168.0.143:9090/
Build successful
Next we continue to deploy the graphical page (deployed on the first server)
root@ubuntu20:~# docker run -d -p 3000:3000 -e "GF_SECURITY_ADMIN_PASSWORD=123456" grafana/grafana
Check the port status
Default account: admin
The password is: 123456
Click on the first prometheus to configure it
Save at the bottom
Then go to the grafana official website to download the monitoring dial json file
Dashboards | Grafana Labs
Search dashboards
Download json file to local
Go back to prometheus and search for import, configure and add the json file
ok