Prometheus是一个开放性的监控解决方案,用户可以非常方便的安装和使用Prometheus并且能够非常方便的对其进行扩展。为了能够更加直观的了解Prometheus Server,接下来我们将在本地部署并运行一个Prometheus Server实例,通过Node Exporter采集当前主机的系统资源使用情况。 并通过Grafana创建一个简单的可视化仪表盘
下载 prometheus
https://prometheus.io/download/找到最新版本的Prometheus Sevrer软件包
我选择了 prometheus-2.27.1.linux-amd64.tar.gz
安装prometheus
>tar -xzf prometheus-2.27.1.linux-amd64.tar.gz
>mv prometheus-2.27.1.linux-amd64 prometheus-2.27.1
>cd prometheus-2.27.1
解压后当前目录会包含默认的Prometheus配置文件promethes.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:
# - 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']
Promtheus作为一个时间序列数据库,其采集的数据会以文件的形似存储在本地中,默认的存储路径为data/
,因此我们需要先手动创建该目录:
> cd prometheus-2.27.1
> mkdir -p data
用户也可以通过参数--storage.tsdb.path="/xx/data11/"
修改本地数据存储的路径
启动 Promtheus
启动prometheus服务,其会默认加载当前路径下的prometheus.yaml文件
nohup ./prometheus --storage.tsdb.path="/data/prometheus/prometheus-2.27.1/data/" &
访问Promtheus
Promtheus 安全参考 https://blog.csdn.net/zhuchunyan_aijia/article/details/117997630
界面上遇到报错:
Prometheus报 Warning: Error fetching server time: Detected 1518 seconds time difference between your browser and the server.
解决:同步一下 时间 https://blog.csdn.net/zhuchunyan_aijia/article/details/113844755