prometheus + Grafana是观测服务器性能比较流行的方案之一
以下是基本功能搭建流程，就四步，非常容易
一、安装 prometheus
i 在 Prometheus + Grafana 的体系架构下，Prometheus 相当于一个注册中心。
1. 下载 prometheus
wget https://github.com/prometheus/prometheus/releases/download/v2.27.1/prometheus-2.27.1.linux-amd64.tar.gz
加速版：
wget https://mirror.liuyan.wang/download/prometheus/prometheus/prometheus-2.27.1.linux-amd64.tar.gz2. 解压
tar xvfz prometheus-2.27.1.linux-amd64.tar.gz
cd prometheus-2.27.1.linux-amd643. 配置文件瞜一眼
vim prometheus.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']
````
>i 最后一行看到prometheus默认对外端口：9090
### 4. 启动./prometheus --config.file=prometheus.yml
**此时使用9090端口可以在浏览器访问**
# 二、被监控节点安装 node_exporter
`node_exporter`装在节点上收集信息，提供给`prometheus`,`granfna`再从`prometheus`获取并展示
### 1. 下载 node_exporter
wget https://github.com/prometheus/node_exporter/releases/download/v1.1.2/node_exporter-1.1.2.linux-amd64.tar.gz
加速版：
wget https://mirror.liuyan.wang/download/prometheus/node_exporter/node_exporter-1.1.2.linux-amd64.tar.gz
### 2. 解压
cd node_exporter-1.1.2.linux-amd64
### 3. 启动./node_exporter
**默认端口9100**
**此时使用9100端口可以在浏览器访问**
### 4. 修改 prometheus.yml
**prometheus和节点端都已部署完毕，现将两者联系到一起**
在 `prometheus`端的`prometheus.yml`中加入被监控节点信息
vim prometheus.yml
**拉到最下面，添加一段：**
被监控节点
job_name: 'node1'
static_configs:- targets: ['IP:9100']
**这里把IP换成被监控节点IP**，修改完后完整配置：
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']
被监控节点
job_name: 'node1'
static_configs:- targets: ['IP:9100']
### 5. 重启prometheus停掉进程后：
./prometheus --config.file=prometheus.yml
至此节点已经把服务器信息提交给`prometheus`，接下来安装`granfna`并与`prometheus`对接
# 三、安装Grafna
### 1. 下载 Grafnawget https://dl.grafana.com/oss/release/grafana-8.4.1.linux-amd64.tar.gz
加速版：
wget https://mirror.liuyan.wang/download/prometheus/granfna/grafana-8.4.1.linux-amd64.tar.gz
### 2. 解压
tar xvzf grafana-8.0.1.linux-amd64.tar.gz
### 3. 启动
./bin/grafana-server web
启动后通过IP:3000访问granfna监控平台
>w 默认初始用户名密码：
admin
admin
登录后，可以重设密码，也可以不重设
**来到主界面**
# 四、配置 Grafna，使其对接prometheus的数据
### 1. 配置数据源（Data sources）
**点击 `Add data source`**
**选择数据源为 `Prometheus`，点击 `Select`,选择类型**
**Setings标签:**
**填写 Name 和prometheus的 URL**
**填写完毕后，点击 Save & test**
**Dashboards标签：**
`Prometheus Stats`、`Prometheus 2.0 Stats`、`Grafana metrics`，统统 `import`
### 2. 数据源配置完毕，接下来挑一个好看的 Dashboard 模版来展示数据
**模板可以使用编号为`8919`这个，支持中文，也可以点击[官网](https://link.zhihu.com/?target=https%3A//grafana.com/dashboards "官网")自行挑选**
自定义模板名称，填写数据源类型为`Prometheu`s, 就大功告成
最后展示：
> Prometheus还可以添加 MySQL监控、MQ监控、Redis监控、告警管理工具等等插件，作为入门文章，这里就不一一展示了，我也不会
