amazon-cloudwatch-metrics

问题 Can I replace a None/Insufficient data point as a value (constant is fine) in a Cloudwatch Math Expression? I am using a math expression of several metrics: if's, arithmetic, etc. The problem is that you are now bound by all of the variables having sufficient data. If one is missing a datapoint, WHAM! Insufficient data for that math expression. Ideally, I'd like to do something like the following based on the standard SQL coalesce function: coalsece(m1, m2, 15) + coalesce(m3, 25) / coalesce

来源： https://stackoverflow.com/questions/48443899/cloudwatch-does-not-aggregate-across-dimensions-for-your-custom-metrics

来源： https://stackoverflow.com/questions/48443899/cloudwatch-does-not-aggregate-across-dimensions-for-your-custom-metrics

问题 Following the Amazon Example for Json Metric Filter, I tried to copy their example. In the process of creating a metric filter, you can test it with example logs first. So I went for "Custom Log", copy-pasted the example from the link given above: { "eventType": "UpdateTrail", "sourceIPAddress": "111.111.111.111", "arrayKey": [ "value", "another value" ], "objectList": [ { "name": "a", "id": 1 }, { "name": "b", "id": 2 } ], "SomeObject": null, "ThisFlag": true } and my pattern is: { $

问题 I need to trigger an alarm when the sum of the same metric ( ApproximateNumberOfMessagesVisible ) on two different queues exceed the value of 100 In September '17, this answer stated that the only way to do it was with a Lambda function getting the two values and summing them up via CloudWatch API. At writing time, Feb. '19, it is possible to use "Metric Math", so there is no need to have a lambda function or an EC2 instance. Is it possible to use Metric Math to define an Alarm directly in

问题 I am trying to create a dashboard and want a widget to display the CPUUtilization graphs of ALL EC2 instances within my autoscaling. Whenever a new instance gets added by autoscaling rules then the dashboard widget should include the graph of new EC2 instance automatically and when an instance gets deleted it should remove the graph of that instance. When I select the autoscaling group as the metric it simply displays one line in the graph although there are 4 instances within that

问题 I am trying to create a dashboard and want a widget to display the CPUUtilization graphs of ALL EC2 instances within my autoscaling. Whenever a new instance gets added by autoscaling rules then the dashboard widget should include the graph of new EC2 instance automatically and when an instance gets deleted it should remove the graph of that instance. When I select the autoscaling group as the metric it simply displays one line in the graph although there are 4 instances within that

问题 I am trying to get to the point of billing for API calls made to our services, this includes creating metrics for each API Key usage, but before I even start that I would like to understand a certain aspect of the CloudWatch logs first. In this first image, you'll notice 1.06 million hits recorded on the graph at 6 weeks and 30 day period: My understanding on this is that the 1.06m is the amount of hits that have taken place on this API, the "custom (6w)" is the time period, i.e. over 6 weeks

问题 I am not able to ref servicename in the widget. Getting the following error with the given code: The dashboard body is invalid, there are 1 validation errors: [ { "dataPath": "/widgets/0/properties/metrics/0", "message": "Should NOT have more than 3 items" } ] (Service: AmazonCloudWatch; Status Code: 400; Error Code: InvalidParameterInput "CloudwatchDashboard": { "Type": "AWS::CloudWatch::Dashboard", "Properties": { "{ \"widgets\": [{ \"type\":\"metric\", \"x\":0, \"y\":0, \"width\":12, \

问题 Need to generate CloudWatch Alarm for API Gateway and Lambda functions. For API Gateway CloudWatch Alarm should be generated if 5XX Error count is 10% of total request count at given period (e.g. 5 minutes). Similarly, We need to add a metric if Maximum Latency 6% of total request count > 4 seconds. For such type of metric looks like we need a combination of metric like Sum of total requests and than need to calculate percentage of errors. We have Math Expressions/Metric math which might be