Prometheus, Grafana and Alertmanager 实战配置

Prometheus时序数据库

系统环境

[ccli@pek tool]$ cat /etc/redhat-release 

Red Hat Enterprise Linux Server release 7.1 (Maipo)

[ccli@pek tool]$ uname -a

Linux pek 3.10.0-229.1.2.el7.x86_64 #1 SMP Fri Mar 6 17:12:08 EST 2015 x86_64 x86_64 x86_64 GNU/Linux

软件下载源

https://github.com/prometheus/prometheus/releases/

https://github.com/prometheus/node_exporter/releases

https://grafana.com/grafana/download?platform=linux

https://prometheus.io/download/

Prometheus 部署

下载/安装

wget https://github.com/prometheus/prometheus/releases/download/v2.7.0/prometheus-2.7.0.linux-amd64.tar.gz

tar zxvf prometheus-2.7.0.linux-amd64.tar.gz

配置

主配置文件ccli.yml

# 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:

      - localhost:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.

rule_files:

  - "node_down.yml"

  - "memory_over.yml"

  # - "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=` to any timeseries scraped from this config.

  - job_name: 'prometheus'

    # metrics_path defaults to '/metrics'

    # scheme defaults to 'http'.

    static_configs:

    - targets: ['localhost:9090']

  # The job name is added as a label `job=` to any timeseries scraped from this config.

  - job_name: 'testnodeexporter'

    # metrics_path defaults to '/metrics'

    # scheme defaults to 'http'.

    static_configs:

    - targets: ['localhost:9100']

Rule Files

node_down.yml

groups:

- name: example

  rules:

  - alert: InstanceDown

    expr: up == 0

    for: 1m

    labels:

      user: caizh

    annotations:

      summary: "Instance {{ $labels.instance }} down"

      description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minutes."

memory_over.yml

groups:

- name: example

  rules:

  - alert: NodeMemoryUsage

    expr: (node_memory_MemTotal_bytes - (node_memory_MemFree_bytes+node_memory_Buffers_bytes+node_memory_Cached_bytes )) / node_memory_MemTotal_bytes * 100 > 80

    for: 1m

    labels:

      user: caizh

    annotations:

      summary: "{{$labels.instance}}: High Memory usage detected"

      description: "{{$labels.instance}}: Memory usage is above 80% (current value is:{{ $value }})"

Node_exporter 部署

下载/安装

wget https://github.com/prometheus/node_exporter/releases/download/v0.17.0/node_exporter-0.17.0.linux-amd64.tar.gz

tar zxvf node_exporter-0.17.0.linux-amd64.tar.gz 

Grafana 部署

下载/安装

wget https://dl.grafana.com/oss/release/grafana-5.4.3.linux-amd64.tar.gz

tar zxvf grafana-5.4.3.linux-amd64.tar.gz

AlertManagement 部署

下载/安装

wget https://github.com/prometheus/alertmanager/releases/download/v0.16.0/alertmanager-0.16.0.linux-amd64.tar.gz

tar zxvf alertmanager-0.16.0.linux-amd64.tar.gz 

配置

global:

  smtp_smarthost: 'xxx.email.com:25'

  smtp_from: 'ccli@139.com'

  smtp_auth_username: 'ccli@139.com'

  smtp_auth_password: 'xxxxxx'

  smtp_require_tls: false

route:

  group_by: ['alertname']

  group_interval: 1m

  repeat_interval: 1h

  receiver: live-monitoring

receivers:

- name: 'live-monitoring'

  email_configs:

  - to: 'ccli@139.com'

Alert Mechanism Verification

Start alertmanager

./alertmanager --config.file='test.yml'

Start prometheus 

./prometheus --config.file='ccli.yml' 

Start node_exporter

./node_exporter

View Graph

http://192.168.0.224:9090/targets

Get status targets

Click Alerts

Stop node_exporter

kill node_exporter progress

View Alerts

接收到邮件sample

Draw Grafana Dashboard

Start prometheus

./prometheus --config.file='ccli.yml'

Start node_exporter

./node_exporter

Start Grafana

./bin/grafana-server -config conf/defaults.ini

Login Grafana by url 

http://192.168.0.224:3000/

你会进入登录页面:

输入用户名admin, 密码admin,会提示是否change password, 选择skip,进入home Dashboard

点击Add data source, 如图:

选择Prometheus作为数据源,输入prometheus url, here 在192.168.0.224上搭建的 (你可以输入你自己Prometheus 机器ip),Access选择Browser, 然后save/test, 因此如图:

选择左边+号添加dashboard, 如图:

然后点击添加Graph, 如图:

然后edit dashboard, 如图:

Click General Tab, 编辑Panel Titel, enter test_cpu, 如图:

Click Metrics, 选择datasouce: Prometheus, query 选择node_cpu_seconds_total, 然后点击右上方save按钮,如图:

最后命名dashboard,如图:

对已经建好的dashboard,你可以添加更多panel,如图:

Reference

https://songjiayang.gitbooks.io/prometheus/content/exporter/nodeexporter_query.html

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