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dashing job for fetching CPU usage and Instance count from AWS. Create an aws-config.json, and update your AutoScalingGroupName here. It assumes a List widget named servers and a Meter widget named cpu in your dashboard. { "accessKeyId": "XXXXXX", "secretAccessKey": "XXXXX", "region": "ap-southeast-1" }
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| "use strict"; | |
| var AWS = require('aws-sdk'); | |
| AWS.config.loadFromPath(__dirname + '/../aws-config.json'); | |
| var autoscaling = new AWS.AutoScaling(); | |
| var cloudwatch = new AWS.CloudWatch(); | |
| function goFigure() { | |
| var e = new Date(); | |
| var d = new Date(Date.now() - 5*60*1000); | |
| autoscaling.describeAutoScalingInstances({},function(err,data) { | |
| if (!err) { | |
| var items = data.AutoScalingInstances.map(function(srv) { | |
| return { label: srv.InstanceId, value: srv.HealthStatus }; | |
| }); | |
| send_event('servers', { items: items }); | |
| } | |
| }); | |
| cloudwatch.getMetricStatistics({ Namespace: 'AWS/EC2' , MetricName: 'CPUUtilization', | |
| Dimensions: [ { Name: 'AutoScalingGroupName', Value: 'adproxyasgrp' } ], | |
| StartTime:d , EndTime: e, Period: 60, Statistics: [ 'Average','SampleCount' ], | |
| }, function(err,data) { | |
| var datapoint = data.Datapoints.pop(); | |
| if (err) { | |
| return console.log(err); | |
| } | |
| send_event('cpu',{ value: Math.floor(datapoint.Average), | |
| moreinfo: 'CPU usage at ' + datapoint.Timestamp.toTimeString() }); | |
| }); | |
| } | |
| goFigure(); | |
| setInterval(goFigure,60*1000); |
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