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Created Apr 16, 2019

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prometheus
# Prometheus 监控部署指南
## 1 JMX Exporter
### 1.1 安装 jmx_agent
- 下载
- jmx_prometheus_javaagent-0.9.jar
```bash
wget -c https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/0.9/jmx_prometheus_javaagent-0.9.jar
mv jmx_prometheus_javaagent-0.9.jar kafka/libs
```
- kafka-0-8-2.yml
```bash
wget -c https://raw.githubusercontent.com/prometheus/jmx_exporter/master/example_configs/kafka-0-8-2.yml
mv kafka-0-8-2.yml kafka/config
```
- 配置 kafka-server-start.sh
```patch
+ export JMX_PORT=${JMX_PORT:-9999}
+ export PROMETHEUS_PORT=${PROMETHEUS_PORT:-7072}
COMMAND=$1
...
- exec $base_dir/kafka-run-class.sh $EXTRA_ARGS kafka.Kafka "$@"
+ exec $base_dir/kafka-run-class.sh $EXTRA_ARGS -javaagent:$base_dir/../libs/jmx_prometheus_javaagent-0.9.jar=$PROMETHEUS_PORT:$base_dir/../config/kafka-0-8-2.yml kafka.Kafka "$@"
```
- 配置采集任务
```bash
SERV_NAME=KAFKA
SERV_ENDPOINT=localhost:7072
cat >> prometheus/prometheus.yml << EOF
- job_name: '$SERV_NAME'
static_configs:
- targets: ['$SERV_ENDPOINT']
EOF
```
## 2 EMQ Exporter
### 2.1 安装 emq_exporter
```bash
VERSION=0.4.1
DIR=emq_exporter-$VERSION-linux
wget -c https://github.com/nuvo/emq_exporter/releases/download/v$VERSION/$DIR.tar.gz
tar zxvf $DIR.tar.gz
ln -s $DIR emq_exporter
mv $DIR.tar.gz $DIR
```
### 2.2 配置 emq_exporter
- 用户名和密码使用 emqtt 管理 dashboard 账号密码 (默认是 admin/public)
```bash
EMQ_USERNAME=admin
EMQ_PASSWORD=public
cat > emq_exporter/auth.json << EOF
{
"username":$EMQ_USERNAME,
"password":$EMQ_PASSWORD
}
```
### 2.3 启动 emq_exporter
- 前台启动
```bash
EMQ_USERNAME=admin EMQ_PASSWORD=public emq_exporter/emq_exporter
```
- 后台启动
```bash
BIN=emq_exporter
nohup $BIN/$BIN > /tmp/$BIN.stdout 2>&1 &
```
## 3 Node Exporter
### 3.1 安装 node_exporter
```bash
VERSION=0.17.0
DIR=node_exporter-$VERSION-linux-amd64
wget -c https://github.com/prometheus/node_exporter/releases/download/v$VERSION/$DIR.tar.gz
tar zxvf $DIR.tar.gz
ln -s $DIR node_exporter
mv $DIR.tar.gz $DIR
```
### 3.2 启动 node_exporter
- 前台启动
```bash
node_exporter/node_exporter
```
- 后台启动
```bash
BIN=node_exporter
nohup $BIN/$BIN > /tmp/$BIN.stdout 2>&1 &
```
## 4 Prometheus
### 4.1 安装 prometheus
```bash
VERSION=2.8.0
DIR=prometheus-$VERSION.linux-amd64
wget -c https://github.com/prometheus/prometheus/releases/download/v2.8.0/prometheus-2.8.0.linux-amd64.tar.gz
tar zxvf $DIR.tar.gz
ln -s $DIR prometheus
mv $DIR.tar.gz prometheus
```
### 4.2 配置采集任务
```bash
SERV_NAME=EMQ
SERV_ENDPOINT=localhost:9540
cat >> prometheus/prometheus.yml << EOF
- job_name: '$SERV_NAME'
static_configs:
- targets: ['$SERV_ENDPOINT']
EOF
```
### 4.3 启动 prometheus
- 前台启动
```bash
prometheus/prometheus
```
- 后台启动
```bash
BIN=prometheus
nohup $BIN/$BIN > /tmp/$BIN.stdout 2>&1 &
```
## 5 Grafana
### 5.1 安装 grafana
```bash
VERSION=5.4.2
DIR=grafana-$VERSION
wget -c https://dl.grafana.com/oss/release/grafana-$VERSION.linux-amd64.tar.gz
tar zxvf grafana-$VERSION.linux-amd64.tar.gz
ln -s $DIR grafana
mv grafana-$VERSION.linux-amd64.tar.gz $DIR
```
### 5.2 启动 grafana
- 前台启动
```bash
grafana/bin/grafana-server -homepath grafana/
```
- 后台启动
```bash
BIN=grafana
nohup $BIN/bin/$BIN-server > /tmp/$BIN.stdout 2>&1 &
```
### 5.3 添加 Prometheus 数据源
- 新建数据源[Prometheus类型] -> 填写服务地址 -> 测试连接 -> 保存并返回
### 5.4 导入 Kafka Dashboard
- 公网
- 导入 Dashboard -> 选择 Dashboard ID : 7589 -> 选择数据源
- 私网
- 导入 Dashboard -> 选择 Json Model -> 选择数据源 [7589.json](https://gist.githubusercontent.com/zhangli2946/5138f537ea328610aa26b674c6b0c9ae/raw/4fde05979950ac2e64698c2d1ea871894547ea0e/7589.json)
### 5.5 导入 EMQ Dashboard
- 公网
- 导入 Dashboard -> 选择 Dashboard ID : 9963 -> 选择数据源
- 私网
- 导入 Dashboard -> 选择 Json Model -> 选择数据源 [9963.json](https://gist.githubusercontent.com/zhangli2946/b20e7f4921d77b3a4885707dfa506e0d/raw/244f9b6d865b48aea4a9065d0228e2f54d75fb41/9963.json)
### 5.6 导入 Node Dashboard
- 公网
- 导入 Dashboard -> 选择 Dashboard ID : 8919 -> 选择数据源
- 私网
- 导入 Dashboard -> 选择 Json Model -> 选择数据源 [8919.json](https://gist.githubusercontent.com/zhangli2946/b20e7f4921d77b3a4885707dfa506e0d/raw/244f9b6d865b48aea4a9065d0228e2f54d75fb41/9963.json)
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