未使用 boto3 创建 Cloudwatch 自定义日志指标

Question

我正在尝试编写一个 AWS Lambda，它将遍历所有 Cloudwatch 日志组，为每个日志组上的搜索词创建一个指标过滤器。

不幸的是，我发现尽管我对 put_metric_filter 的所有调用都收到 HTTP 200 响应，但大多数调用都没有创建任何内容（4/15 调用导致创建过滤器）。

我有一个带有此处理程序文件“handler.py”的 AWS Lambda：

from __future__ import print_function
from basicExample import ManageMetricsAndAlarms

import json, logging

log = logging.getLogger()
log.setLevel(logging.INFO)

def handler(event, context):
  log.info("Received event {}".format(json.dumps(event)))
  mc = ManageMetricsAndAlarms(event, context)
  response = mc.main()
  return json.dumps(response)

它调用来自“basicExample.py”的 ManageMetricsAndAlarms 类，该类映射到日志组名称的数组，为每个过滤器创建一个度量标准“错误”：

from __future__ import print_function

import boto3, os, sys, json, botocore, logging

log = logging.getLogger()
log.setLevel(logging.INFO)

class ManageMetricsAndAlarms:

  # -------------------------------------------------
  def __init__(self,event,context):
    self.event   = event

  # -------------------------------------------------
  def main(self):
    cloudwatch = boto3.resource('cloudwatch')
    metricsNamespace = 'ExampleMetrics'
    errorFilter = '{ $.levelname = "ERROR" }'

    # Supposing that I have log groups for 10 imaginatively named lambdas
    logGroupNames = [
      '/aws/lambda/Lambda-1', '/aws/lambda/Lambda-2', 
      '/aws/lambda/Lambda-3', '/aws/lambda/Lambda-4',
      '/aws/lambda/Lambda-5', '/aws/lambda/Lambda-6',
      '/aws/lambda/Lambda-7', '/aws/lambda/Lambda-8',
      '/aws/lambda/Lambda-9', '/aws/lambda/Lambda-10'
    ]

    # map over the log groups adding a metric filter for 'ERROR' to each
    responses = map(lambda lg: self.createErrorFilter(metricsNamespace, errorFilter, lg), logGroupNames)
    return responses

  # -------------------------------------------------

  def createErrorFilter(self, metricsNamespace, filterPattern, logGroup):
    metricName = logGroup + '_ErrorCount'
    logs_client = boto3.client('logs')

    log.info('Put metric filter ' + metricName + ' with filter $.levelname-ERROR on logGroup: ' + logGroup)
    errorFilter = logs_client.put_metric_filter(
        logGroupName = logGroup,
        filterName ='ERROR-filter',
        filterPattern = filterPattern,
        metricTransformations = [
            {
                'metricNamespace': metricsNamespace,
                'metricValue': '1',
                'metricName': metricName,
            }
        ]
    )
    log.info('errorFilter response: ' + json.dumps(errorFilter))

    return errorFilter

  # -------------------------------------------------

我对 python 很陌生，所以我希望我错过了一些基本的东西，但任何帮助都将不胜感激！

Answer 1

需要考虑的几点：

1. 你为什么要把它放在一个 lambda 上？ 你打算每分钟/小时在相同的 lambda 表达式上放置相同的过滤器吗？ 通常，您应该只执行一次脚本（或在部署新的 lambda 之后。

2. map是一个惰性求值器，因此您需要类似的东西
   list(map(function x: print(x), iterable))如果要执行函数

这是一个例子

import boto3


def createErrorFilter(metricsNamespace, filterPattern, logGroup):


    metricName = logGroup + '_example'
    logs_client = boto3.client('logs')

    errorFilter = logs_client.put_metric_filter(
    logGroupName = logGroup,
    filterName ='ERROR-filter',
    filterPattern = filterPattern,
    metricTransformations = [
        {
            'metricNamespace': metricsNamespace,
            'metricValue': '1',
            'metricName': metricName,
        }
    ]
    )
    print('ok')
    return 

cloudwatch = boto3.resource('cloudwatch')
metricsNamespace = 'ExampleMetrics-2'
errorFilter = 'ERROR'


logGroupNames = [
  '/aws/lambda/lambda1', '/aws/lambda/lambda2'
]

# map over the log groups adding a metric filter for 'ERROR' to each
responses = list(map(lambda lg: createErrorFilter(metricsNamespace, errorFilter, lg), logGroupNames))