Yes. Check the custom metrics checkbox on the AWS integration tile.
Datadog uses the CloudWatch monitoring APIs to monitor your AWS resources. Our main use of these APIs is to gather raw metrics data through the
Other APIs are used to enrich metrics data. Some examples include:
Gathering custom tags to add to metrics
Gathering information about the status or health of resources, such as automuting
Gathering log streams
Datadog gathers the available metrics every 10 minutes for each AWS sub-integration you have installed. If you have a large number of AWS resources for a particular sub-integration (SQS, ELB, DynamoDB, AWS Custom metrics), this can impact your AWS CloudWatch bill.
You can monitor your CloudWatch API usage using the AWS Billing integration.
There are two important distinctions to be aware of:
1 minuteshows the total number of occurrences in one minute leading up to that point (the rate per one minute). Datadog is displaying the raw data from AWS normalized to per second values, regardless of the timeframe selected in AWS. Therefore, you might see a lower value in Datadog.
avghave different meanings within AWS. AWS distinctly collects average latency, minimum latency, and maximum latency. When pulling metrics from AWS CloudWatch, Datadog only receives the average latency as a single timeseries per ELB. Within Datadog, when you select
avg, you are controlling how multiple timeseries are combined. For example, requesting
system.cpu.idlewithout any filter returns one series for each host reporting that metric. Datadog combines these time series using space aggregation. Otherwise, if you requested
system.cpu.idlefrom a single host, no aggregation is necessary and switching between
maxyields the same result.
AWS CloudWatch reports metrics at one-minute granularity normalized to per minute data. Datadog reports metrics at one-minute granularity normalized to per second data. To adjust the data in Datadog, multiply by 60.
Rollups don’t display similar results. For a rollup call of
rollup(sum, 60), the server groups all data points in minute bins and returns the sum of each bin as a datapoint. However, the granularity of AWS metrics is one minute, so there is only one datapoint per bin leading to no change.
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