使用Grafana+Prometheus
quickmsg
# 安装prometheus
- 新建prometheus.yml配置文件
global:
scrape_interval: 3s # 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: "smqtt02"
metrics_path: /smqtt/meter
static_configs:
- targets: ["192.168.124.62:60000"] # 你后台服务的地址
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- 使用docker启动
sudo docker run -it -d -p 9090:9090 -v /tmp/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
-v /tmp/prometheus-data:/prometheus-data \
prom/prometheus
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- 访问prometheus监控页面 http://localhost:9090
# 安装grafana
docker run -it -d \
-p 3000:3000 \
--name=grafana \
-v /opt/grafana-storage:/var/lib/grafana \
grafana/grafana
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# 配置grafana
配置
prometheus
数据源导入dashboard
在gitee/github项目中monitor/prometheus目录下包含三个json文件,倒入到grafana中即可, 目前influxdb的配置暂未提供, 敬请期待
# SMQTT启动监控
启动http接口,开启
prometheus
smqtt:
http: # http相关配置 端口固定60000
enable: true # 开关
accessLog: true # http访问日志
ssl: # ssl配置
enable: false
admin: # 后台管理配置
enable: true # 开关
username: smqtt # 访问用户名
password: smqtt # 访问密码
meter:
meterType: PROMETHEUS # INFLUXDB , PROMETHEUS
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