91 lines
4.5 KiB
Markdown
91 lines
4.5 KiB
Markdown
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# 設定
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`docker-compose.yml` 如下：
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```yaml
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version: "3"
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services:
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grafana:
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image: grafana/grafana:latest
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container_name: grafana
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restart: always
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user: "1000" # needs to be `id -u` // alternatively chown the grafana/data dir to 472:472
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ports:
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- "8081:3000" # expose for localhost
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links:
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- influxdb
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volumes:
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- ./data/grafana/data:/var/lib/grafana # data path
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- ./data/grafana/provisioning:/etc/grafana/provisioning
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- ./data/grafana/grafana.ini:/etc/grafana/grafana.ini
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environment:
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- GF_INSTALL_PLUGINS=grafana-clock-panel,grafana-simple-json-datasource
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influxdb:
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image: influxdb
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ports:
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- "8082:8086"
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volumes:
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- ./data/influxdb/data:/var/lib/influxdb2
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telegraf:
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image: telegraf
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user: telegraf:992 # Get 992 by `stat -c '%g' /var/run/docker.sock`, depend on system
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depends_on:
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- influxdb
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links:
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- influxdb
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock:ro
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- ./data/telegraf/telegraf.conf:/etc/telegraf/telegraf.conf:ro
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environment:
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- HOST_PROC=/proc
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- HOST_SYS=/sys
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- HOST_ETC=/etc
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```
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檔案結構如下：
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```
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data\
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grafana\
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grafana.ini
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telegraf\
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telegraf.conf
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docker-compose.yml
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```
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`data/grafana/grafana.ini` 與 `data/telegraf/telegraf.conf` 都是需要事先準備好的檔案。
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## 設定 InfluxDB
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先把 docker 建立起來，然後打開 influxdb（[http://awinpi4:8082](http://awinpi4:8082/)），建立帳號、密碼、資料庫名稱。如下：
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![[20240217_212138_chrome_setup_influxdb.png]]
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之後會出現一串Token，如下，這個要記起來。
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![[20240217_212319_chrome_1894x1254_influxdb_token.png]]
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## 設定 telegraf
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然後打開 `./data/telegraf/telegraf.conf` ，找到 `[[outputs.influxdb_v2]]` 這個區塊，把 `urls`、`organization`、`bucket`、`token` 的值改為剛剛建立與複製的那一串。如圖：
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![[20240217_213900_Code_setup_telegraf_ini.png]]
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然後重啟 docker compose。
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# 設定 InfluxDB 的 dashboard
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到 [https://github.com/influxdata/community-templates#templates](https://github.com/influxdata/community-templates#templates) 挑一個 template，例如 [Raspberry Pi System Template](https://github.com/influxdata/community-templates/tree/master/raspberry-pi)，找到他的網址，如下：
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![[20240217_213108_chrome_1864x1044_raspberrypi_template_on_github.png]]
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複製這一行，然後到 InfluxDB 的 template 去把它 import 進來。如下：
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![[20240217_213237_chrome_2753x1254_setup_influxdb.png]]
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![[20240217_213311_chrome_2753x1254_influxdb_install_template.png]]
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接著 Dashboards 就會出現一個 Raspberry Pi System 的 dashboard 了。
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![[20240217_213343_chrome_1624x1120_influxdb_dashboard.png]]
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點下去之後大概是長這樣：
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![[20240217_214001_chrome_2604x1716_influxdb_dashboard.png]]
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# 參考
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- [建構 Grafana + Influxdb v2.0 + Telegraf 監控系統(docker版) - DSA Learning](https://dsalearning.github.io/grafana/influxdb-telegraf-docker/)
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- [Raspberry Pi, InfluxDB, Grafana, Docker | by Anton Karazeev | Medium](https://medium.com/@antonkarazeev/raspberry-pi-influxdb-grafana-docker-a526575d6e6f#id_token=eyJhbGciOiJSUzI1NiIsImtpZCI6ImVkODA2ZjE4NDJiNTg4MDU0YjE4YjY2OWRkMWEwOWE0ZjM2N2FmYzQiLCJ0eXAiOiJKV1QifQ.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.SXAVZ3SXny4YjIc9Cg6fNFHlXKe0jrm-4uwJ7KH41Tmo_vRAQGlbUn7MmVHXWexpKdpMCSVECC8C1VuUielC-vm8AoHMs1PLJCyhdg02hUyTqEMA08ydscfjguGP6kuI3LoMVsxkAl51C06lQi8llYZ4XGkdHxhCWP12fXQStdGPfv-64KNCkPTIfI7Teo7sfJGyjSQsDMRa4v9GWS9qmbCqut06fhpLyj0lEVfntratbuTN8ThekVfuJyJyG29U6xclm1O0NgBp-BnXML_YtBxTBV2Td_DRYY0dfcVivDKxzH135FfY5xpp_2ZIewkjJG5-pTHpin1R_XLVmIhXuA)
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- [Raspberry Pi 4 使用 Grafana 监控_influxdb and grafana on raspberrypi-CSDN博客](https://blog.csdn.net/u013360850/article/details/115568985) |