如何通过 aws-cdk 将自定义指标和警报添加到 AWS Lambda 函数

How to add custom Metric and Alarm to AWS Lambda function via aws-cdk

我有点坚持配置 cdk 一个常见的用例:有一个 A​​larmMetric 对于 Lambda 函数

import lambda = require("@aws-cdk/aws-lambda")
import { Duration } from "@aws-cdk/core"
import lambda = require("@aws-cdk/aws-lambda")
import { Duration } from "@aws-cdk/core";
import { LogGroup } from '@aws-cdk/aws-logs'
import { MetricFilter, FilterPattern } from '@aws-cdk/aws-logs'
import { Alarm, ComparisonOperator, TreatMissingData } from "@aws-cdk/aws-cloudwatch"

const lambdaFn = new lambda.Function(this, "VouchersPayoutQueueConsumer", {
    functionName: 'lambda-custom-name',
    runtime: lambda.Runtime.NODEJS_10_X,
    code: lambda.Code.fromAsset("dir_name"),
    timeout: Duration.seconds(15),
    memorySize: 1024,
    handler: "handler.handlerMethod",
})

const METRIC_NAME = 'metric-name'
const METRIC_NAMESPACE = 'metric-namespace'

new MetricFilter(this, `MetricFilterId`, {
    metricName: METRIC_NAME,
    metricNamespace: METRIC_NAMESPACE,
    logGroup: LogGroup.fromLogGroupName(this, "LambdaLogGroupId", `/aws/lambda/${lambdaFn.functionName}`),
    filterPattern: FilterPattern.stringValue("$.params.name", "==", "ReportErrorsToS3"),
    metricValue: "$.params.value"
})

new Alarm(this, "AlarmId", {
    metric,
    evaluationPeriods: 1,
    actionsEnabled: true,
    alarmName: `alarms-s3errors`,
    alarmDescription: "Alarm ReportErrorsToS3",
    comparisonOperator: ComparisonOperator.GREATER_THAN_THRESHOLD,
    treatMissingData: TreatMissingData.IGNORE,
    period: Duration.hours(1),
    threshold: 1,
    statistic: "max"
})
  1. 从哪里获取 metric 以及如何使用 MetricFilter 映射它?
  2. 如何为 MetricFilter 正确设置 logGroup 以解决问题:

    1/4 | 11:02:05 AM | CREATE_FAILED | AWS::Logs::MetricFilter | MetricFilter (MetricFilter8E0FEF2B) The specified log group does not exist. (Service: AWSLogs; Status Code: 400; Error Code: ResourceNotFoundException; Request ID: a1395551-5768-40c3-baaa-cbb133effe7b)

AWS CDK AWS 1.22.0

  • metric 是单独声明的,但是 metricNamenamespace 必须相同 用于 MetricFilter
  • LogGroup 也必须单独实例化,但与 logGroupName 相同,lambda 将创建。

结果:

import { Metric } from "@aws-cdk/aws-cloudwatch";
import lambda = require("@aws-cdk/aws-lambda")
import { Duration } from "@aws-cdk/core";
import { LogGroup } from '@aws-cdk/aws-logs'
import { MetricFilter, FilterPattern } from '@aws-cdk/aws-logs'
import { Alarm, ComparisonOperator, TreatMissingData } from "@aws-cdk/aws-cloudwatch"

const LAMBDA_CUSTOM_NAME = `lambda-custom-name`

let logGroup = new LogGroup(this, 'LogGroup', {
  logGroupName: `/aws/lambda/${LAMBDA_CUSTOM_NAME}`
})

const lambdaFn = new lambda.Function(this, "VouchersPayoutQueueConsumer", {
    functionName: LAMBDA_CUSTOM_NAME,
    runtime: lambda.Runtime.NODEJS_10_X,
    code: lambda.Code.fromAsset("dir_name"),
    timeout: Duration.seconds(15),
    memorySize: 1024,
    handler: "handler.handlerMethod",
});


const METRIC_NAME = 'metric-name'
const METRIC_NAMESPACE = 'metric-namespace'

const metric = new Metric({
    namespace: METRIC_NAMESPACE,
    metricName: METRIC_NAME
})

new MetricFilter(this, `MetricFilterId`, {
    metricName: METRIC_NAME,
    metricNamespace: METRIC_NAMESPACE,
    logGroup: logGroup,
    filterPattern: FilterPattern.stringValue("$.params.name", "==", "ReportErrorsToS3"),
    metricValue: "$.params.value"
})

new Alarm(this, "AlarmId", {
    metric,
    evaluationPeriods: 1,
    actionsEnabled: true,
    alarmName: `alarms-s3errors`,
    alarmDescription: "Alarm ReportErrorsToS3",
    comparisonOperator: ComparisonOperator.GREATER_THAN_THRESHOLD,
    treatMissingData: TreatMissingData.IGNORE,
    period: Duration.hours(1),
    threshold: 1,
    statistic: "max"
})

以上述答案为基础(我没有足够的评论要点)- 如果您想遵循此模式,请确保指定 const 指标的类型 'metric'。它应该看起来像:

new Alarm(this, "AlarmId", {
    metric: metric,
    evaluationPeriods: 1,
    actionsEnabled: true,
    alarmName: `alarms-s3errors`,
    alarmDescription: "Alarm ReportErrorsToS3",
    comparisonOperator: ComparisonOperator.GREATER_THAN_THRESHOLD,
    treatMissingData: TreatMissingData.IGNORE,
    period: Duration.hours(1),
    threshold: 1,
    statistic: "max"
})