EC2AutoscaleNode

// Target 80% cpu per ec2 instance
var target = 80.0
var min = 1
var max = 10
var period = 5m
var every = period
stream
  |from()
    .measurement('cpu')
    .groupBy('host_name','group_name')
    .where(lambda: "cpu" == 'cpu-total')
  |eval(lambda: 100.0 - "usage_idle")
    .as('usage_percent')
  |window()
    .period(period)
    .every(every)
  |mean('usage_percent')
    .as('mean_cpu')
  |groupBy('group_name')
  |sum('mean_cpu')
    .as('total_cpu')
  |ec2Autoscale()
    // Get the group name of the VM(EC2 instance) from "group_name" tag.
    .groupNameTag('group_name')
    .min(min)
    .max(max)
    // Set the desired number of replicas based on target.
    .replicas(lambda: int(ceil("total_cpu" / target)))
  |influxDBOut()
    .database('deployments')
    .measurement('scale_events')
    .precision('s')

ec2Autoscale.cluster(value string)

    |ec2Autoscale()
        .currentField('replicas')
        // Increase the replicas by 1 if the qps is over the threshold
        .replicas(lambda: if("qps" > threshold, "replicas" + 1, "replicas"))

ec2Autoscale.currentField(value string)

ec2Autoscale.decreaseCooldown(value time.Duration)

ec2Autoscale.groupName(value string)

ec2Autoscale.groupNameTag(value string)

ec2Autoscale.increaseCooldown(value time.Duration)

ec2Autoscale.max(value int64)

ec2Autoscale.min(value int64)

ec2Autoscale.outputGroupNameTag(value string)

ec2Autoscale.quiet()

ec2Autoscale.replicas(value ast.LambdaNode)

ec2Autoscale|alert()

ec2Autoscale|barrier()

ec2Autoscale|bottom(num int64, field string, fieldsAndTags ...string)

ec2Autoscale|changeDetect(field string)

ec2Autoscale|combine(expressions ...ast.LambdaNode)

ec2Autoscale|count(field string)

ec2Autoscale|cumulativeSum(field string)

    var data = stream
        |from()...
    // Trigger critical alert if the throughput drops below 100 points per 10s and checked every 10s.
    data
        |deadman(100.0, 10s)
    //Do normal processing of data
    data...

    var data = stream
        |from()...
    // Trigger critical alert if the throughput drops below 100 points per 10s and checked every 10s.
    data
        |stats(10s)
            .align()
        |derivative('emitted')
            .unit(10s)
            .nonNegative()
        |alert()
            .id('node \'stream0\' in task \'{{ .TaskName }}\'')
            .message('{{ .ID }} is {{ if eq .Level "OK" }}alive{{ else }}dead{{ end }}: {{ index .Fields "emitted" | printf "%0.3f" }} points/10s.')
            .crit(lambda: "emitted" <= 100.0)
    //Do normal processing of data
    data...

    var data = stream
        |from()...
    // Trigger critical alert if the throughput drops below 100 points per 10s and checked every 10s.
    data
        |deadman(100.0, 10s)
            .slack()
            .channel('#dead_tasks')
    //Do normal processing of data
    data...

    var data = stream
        |from()...
    // Trigger critical alert if the throughput drops below 100 points per 10s and checked every 10s.
    // Only trigger the alert if the time of day is between 8am-5pm.
    data
        |deadman(100.0, 10s, lambda: hour("time") >= 8 AND hour("time") <= 17)
    //Do normal processing of data
    data...

ec2Autoscale|deadman(threshold float64, interval time.Duration, expr ...ast.LambdaNode)

ec2Autoscale|default()

ec2Autoscale|delete()

ec2Autoscale|derivative(field string)

ec2Autoscale|difference(field string)

ec2Autoscale|distinct(field string)

ec2Autoscale|ec2Autoscale()

ec2Autoscale|elapsed(field string, unit time.Duration)

ec2Autoscale|eval(expressions ...ast.LambdaNode)

ec2Autoscale|first(field string)

ec2Autoscale|flatten()

    |groupBy(*)

ec2Autoscale|groupBy(tag ...interface{})

ec2Autoscale|holtWinters(field string, h int64, m int64, interval time.Duration)

ec2Autoscale|holtWintersWithFit(field string, h int64, m int64, interval time.Duration)

ec2Autoscale|httpOut(endpoint string)

ec2Autoscale|httpPost(url ...string)

ec2Autoscale|influxDBOut()

ec2Autoscale|join(others ...Node)

ec2Autoscale|k8sAutoscale()

ec2Autoscale|kapacitorLoopback()

ec2Autoscale|last(field string)

ec2Autoscale|log()

ec2Autoscale|mean(field string)

ec2Autoscale|median(field string)

ec2Autoscale|mode(field string)

ec2Autoscale|movingAverage(field string, window int64)

ec2Autoscale|percentile(field string, percentile float64)

ec2Autoscale|sample(rate interface{})

ec2Autoscale|shift(shift time.Duration)

ec2Autoscale|sideload()

ec2Autoscale|spread(field string)

ec2Autoscale|stateCount(expression ast.LambdaNode)

ec2Autoscale|stateDuration(expression ast.LambdaNode)

ec2Autoscale|stats(interval time.Duration)

ec2Autoscale|stddev(field string)

ec2Autoscale|sum(field string)

ec2Autoscale|swarmAutoscale()

ec2Autoscale|top(num int64, field string, fieldsAndTags ...string)

ec2Autoscale|trickle()

ec2Autoscale|union(node ...Node)

ec2Autoscale|where(expression ast.LambdaNode)

ec2Autoscale|window()