這個問題是slack 中有人問到的，同時也是社群提的比較多的，基於prometheus 的監控方案是一個很不錯的選擇
因為cube.js 是基於express 開發的，同時官方也提供了外掛擴充套件點的方法，我們可以直接使用現成的prometheus
express 擴充套件

參考配置

• prometheus 模組

//const shrinkRay = require('shrink-ray-current');

const promMid = require('express-prometheus-middleware');

module.exports = function (app) {
 

    if (process.env.NODE_ENV == "production") {

        app.get("/", function (req, res) {

            res.send("oneservice api")

        })

    }

    // always use zip 

    //   app.use(shrinkRay())

    app.use(promMid({

        metricsPath: '/metrics',

        collectDefaultMetrics: true,
 

        requestDurationBuckets: [0.1, 0.5, 1, 1.5],

        requestLengthBuckets: [512, 1024, 5120, 10240, 51200, 102400],

        responseLengthBuckets: [512, 1024, 5120, 10240, 51200, 102400],

    }));

}

• cube.js 使用外掛

// Cube.js configuration options: https://cube.dev/docs/config

const { DremioDriver, DremioQuery } = require("@dalongrong/mydremio-driver")
 

const MyS3FileRepository = require("@dalongrong/cube-s3repository")

const { schemaVersion, checkAuth, homePage } = require('./libs/oneserviceapi')

const logger = require("./libs/logger")

const cubeConf  = require("./libs/cubeConf")

module.exports = {

    basePath: "/oneserviceapi/:projectid",

    schemaVersion: schemaVersion,

    dialectFactory: (dataSource) => {

        return DremioQuery

    },

    orchestratorOptions: cubeConf.orchestratorOptions,

    logger: (msg, params) => {

        if (process.env.NODE_ENV == "production") {

            logger.log({

                level: 'info',

                message: `${JSON.stringify({ msg, ...params })}`

            });

        } else {

            console.log(`${JSON.stringify({ msg, ...params })}`)

        }

    },

    telemetry: false,

    dbType: ({ dataSource } = {}) => {

        return "mydremio"

    },

    driverFactory: ({ dataSource } = {}) => {

        return new DremioDriver({})

    },

    repositoryFactory: ({ securityContext }) => {

        return new MyS3FileRepository.S3FileRepository({

            objectPrefix: securityContext.projectId,

            bucket: securityContext.tenantId,

        })

    },

    queryRewrite: (query, { securityContext }) => {

        return query;

      },

    checkAuth: checkAuth,

    contextToAppId: ({ securityContext }) => {

        return `ONESERVICEAPP_${securityContext.projectId}`

    },

    initApp: homePage

};

• prometheus 環境準備

version: "3"

services: 

    grafana:

      image: grafana/grafana    

      ports:

      - "3000:3000"

    prometheus:

      image: prom/prometheus

      volumes:

      - "./prometheus.yml:/etc/prometheus/prometheus.yml"

      ports:

      - "9090:9090"  

prometheus.yml

scrape_configs:

  - job_name: cubejs

    metrics_path: /metrics

    scrape_interval: 10s

    scrape_timeout: 10s

    static_configs:

      - targets: ['<hostip>:4000']

效果

• 啟動

yarn dev

• 效果

監控

說明

以上是一個簡單的整合，實際上還是很簡單的，而且可以方便的解決我們日常系統監控的問題,注意對於叢集模式的（node cluster ）監控指標會有問題，但是也是可以湊合能用

參考資料

https://www.npmjs.com/package/express-prometheus-middleware
https://www.npmjs.com/package/prometheus-api-metrics
https://grafana.com/grafana/dashboards/14565
https://grafana.com/grafana/dashboards/12230