簡介
prometheus可以拆分成多個節(jié)點進行指標(biāo)收集。
安裝環(huán)境：CentOS7
安裝prometheus
wget -c https://github.com/prometheus/prometheus/releases/download/v2.23.0/prometheus-2.23.0.linux-amd64.tar.gz
tar zxvf prometheus-2.23.0.linux-amd64.tar.gz -C /opt/
cd /opt/
ln -s prometheus-2.23.0.linux-amd64 prometheus
cat > /etc/systemd/system/prometheus.service <<EOF
[Unit]
Description=prometheus
After=network.target
[Service]
Type=simple
WorkingDirectory=/opt/prometheus
ExecStart=/opt/prometheus/prometheus --config.file="/opt/prometheus/prometheus.yml"
LimitNOFILE=65536
PrivateTmp=true
RestartSec=2
StartLimitInterval=0
Restart=always
[Install]
WantedBy=multi-user.target
EOF
systemctl daemon-reload
systemctl enable prometheus
systemctl start prometheus
這里配置的是監(jiān)聽/opt/prometheus/servers/目錄下的json文件
cat > /opt/prometheus/prometheus.yml <<EOF
# 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']
- job_name: 'servers'
file_sd_configs:
- refresh_interval: 61s
files:
- /opt/prometheus/servers/*.json
EOF
systemctl restart prometheus
json格式
每個json文件需要是一個數(shù)組對象，如果不需要自定義標(biāo)簽，可以直接寫到targets里面去也可以，可以有多個文件
[
{
"targets": [
"192.168.1.164:9100"
],
"labels": {
"instance": "192.168.1.164",
"job": "node_exporter"
}
},
{
"targets": [
"192.168.1.167:9100"
],
"labels": {
"instance": "192.168.1.167",
"job": "node_exporter"
}
}
]
安裝node_exporter
安裝到/opt/node_exporter路徑下，保持默認的端口
https://github.com/prometheus/node_exporter/releases/download/v1.0.1/node_exporter-1.0.1.linux-amd64.tar.gz
tar zxvf node_exporter-1.0.1.linux-amd64.tar.gz -C /opt/
cd /opt/
ln -s node_exporter-1.0.1.linux-amd64 node_exporter
cat > /etc/systemd/system/node_exporter.service <<EOF
[Unit]
Description=node_exporter
After=network.target
[Service]
Type=simple
WorkingDirectory=/opt/node_exporter
ExecStart=/opt/node_exporter/node_exporter
LimitNOFILE=65536
PrivateTmp=true
RestartSec=2
StartLimitInterval=0
Restart=always
[Install]
WantedBy=multi-user.target
EOF
systemctl daemon-reload
systemctl enable node_exporter
systemctl start node_exporter
圖形展示
直接安裝grafana進行展示
yum -y install https://dl.grafana.com/oss/release/grafana-7.3.6-1.x86_64.rpm
systemctl enable grafana-server
systemctl start grafana-server
啟動之后，grafana默認監(jiān)聽的是3000端口，直接使用瀏覽器進行訪問就可以了，默認用戶名密碼是admin/admin，第一次登陸之后會提示修改。
配置數(shù)據(jù)源：鼠標(biāo)左邊的菜單 Configuration -> Data Source -> Add data source -> 選擇prometheus -> url那欄填入prometheus的地址就可以了 -> 最后 Save & test 就可以了。
grafana.com/grafana/dashboards 官網(wǎng)已經(jīng)有人做好的模板，我們直接import進來就可以了。
導(dǎo)入面板：鼠標(biāo)左邊的菜單 Dashboards -> Import -> 填入id -> Load -> 選擇數(shù)據(jù)源就可以了。
我經(jīng)常用的是：1860 、8919 這兩個來查看node_exporter監(jiān)控
總結(jié)
安裝這些服務(wù)都是使用systemd進行管理的，操作起來比較方便的。
這里沒有設(shè)置告警，可以根據(jù)自己的需要設(shè)置對應(yīng)的告警規(guī)則，使用alertmanager進行告警。
原文地址：https://www.toutiao.com/i6914917162675192324/
