Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Viewing CloudFront and edge function metrics

You can view operational metrics about your CloudFront distributions and edge functions in the CloudFront console. To view these metrics, see the Monitoring page in the CloudFront console. To view graphs about the activity for a specific CloudFront distribution or edge function, choose one, and then choose View distribution metrics or View metrics.

Viewing the default CloudFront distribution metrics

The following default metrics are included for all CloudFront distributions, at no additional cost:

These metrics are shown in graphs for each CloudFront distribution on the Monitoring page in the CloudFront console. On each graph, the totals are displayed at 1-minute granularity. In addition to viewing the graphs, you can also download metrics reports as CSV files.

You can customize the graphs by doing the following:

To view CloudFront graphs in the CloudWatch console, choose Add to dashboard.

Turning on additional CloudFront distribution metrics

In addition to the default metrics, you can turn on additional metrics for an additional cost. For more information about the cost, see Estimating cost for the additional CloudFront metrics.

These additional metrics must be turned on for each distribution separately:

Turning on additional metrics

You can turn on additional metrics in the CloudFront console, with Amazon CloudFormation, with the Amazon Command Line Interface (Amazon CLI), or with the CloudFront API.

Console

To turn on additional metrics (console)

1. Sign in to the Amazon Web Services Management Console and open the Monitoring page in the CloudFront console.

2. Choose the distribution to turn on additional metrics for, and then choose View distribution metrics.

3. Choose Manage additional metrics.

4. In the Manage additional metrics window, turn on Enabled. After you turn on the additional metrics, you can close the Manage additional metrics window.

After you turn on the additional metrics, they are shown in graphs. On each graph, the totals are displayed at 1-minute granularity. In addition to viewing the graphs, you can also download metrics reports as CSV files.

You can customize the graphs by doing the following:

• To change the time range for the information displayed in the graphs, choose 1h (1 hour), 3h (3 hours), or another range, or specify a custom range.

• To change how often CloudFront updates the information in the graph, choose the down arrow next to the refresh icon, and then choose a refresh rate. The default refresh rate is 1 minute, but you can choose 10 seconds, 2 minutes, or other options.

To view CloudFront graphs in the CloudWatch console, choose Add to dashboard.

Amazon CloudFormation

To turn on additional metrics with Amazon CloudFormation, use the AWS::CloudFront::MonitoringSubscription resource type. The following example shows the Amazon CloudFormation template syntax, in YAML format, for enabling additional metrics.

Type: AWS::CloudFront::MonitoringSubscription
Properties: 
  DistributionId: EDFDVBD6EXAMPLE
  MonitoringSubscription:
    RealtimeMetricsSubscriptionConfig:
      RealtimeMetricsSubscriptionStatus: Enabled

CLI

To manage additional metrics with the Amazon Command Line Interface (Amazon CLI), use one of the following commands:

To turn on additional metrics for a distribution (CLI)

• Use the create-monitoring-subscription command, as in the following example. Replace EDFDVBD6EXAMPLE with the ID of the distribution that you are enabling additional metrics for.

  
  aws cloudfront create-monitoring-subscription --distribution-id EDFDVBD6EXAMPLE --monitoring-subscription RealtimeMetricsSubscriptionConfig={RealtimeMetricsSubscriptionStatus=Enabled}

To see whether additional metrics are turned on for a distribution (CLI)

• Use the get-monitoring-subscription command, as in the following example. Replace EDFDVBD6EXAMPLE with the ID of the distribution that you are checking.

  
  aws cloudfront get-monitoring-subscription --distribution-id EDFDVBD6EXAMPLE

To turn off additional metrics for a distribution (CLI)

• Use the delete-monitoring-subscription command, as in the following example. Replace EDFDVBD6EXAMPLE with the ID of the distribution that you are turning off additional metrics for.

  
  aws cloudfront delete-monitoring-subscription --distribution-id EDFDVBD6EXAMPLE

API

To manage additional metrics with the CloudFront API, use one of the following API operations.

• To turn on additional metrics for a distribution, use CreateMonitoringSubscription.

• To see whether additional metrics are turned on for a distribution, use GetMonitoringSubscription.

• To turn off additional metrics for a distribution, use DeleteMonitoringSubscription.

For more information about these API calls, see the API reference documentation for your Amazon SDK or other API client.

Estimating cost for the additional CloudFront metrics

When you turn on additional metrics for a distribution, CloudFront sends up to 8 metrics to CloudWatch in the US East (N. Virginia) Region. CloudWatch charges a low, fixed rate for each metric. This rate is charged only once per month, per metric (up to 8 metrics per distribution). This is a fixed rate, so your cost remains the same regardless of the number of requests or responses that the CloudFront distribution receives or sends. For the per-metric rate, see the Amazon CloudWatch pricing page and the CloudWatch pricing calculator. Additional API charges apply when you retrieve the metrics with the CloudWatch API.

Viewing the default Lambda@Edge function metrics

You can use CloudWatch metrics to monitor, in real time, problems with your Lambda@Edge functions. There's no additional charge for these metrics.

When you attach a Lambda@Edge function to a cache behavior in a CloudFront distribution, Lambda begins sending metrics to CloudWatch automatically. Metrics are available for all Lambda Regions, but to view metrics in the CloudWatch console or get the metric data from the CloudWatch API, you must use the US East (N. Virginia) Region (us-east-1). The metric group name is formatted as: AWS/CloudFront/distribution-ID, where distribution-ID is the ID of the CloudFront distribution that the Lambda@Edge function is associated with. For more information about CloudWatch metrics, see the Amazon CloudWatch User Guide.

The following default metrics are shown in graphs for each Lambda@Edge function on the Monitoring page in the CloudFront console:

The graphs include the number of invocations, errors, throttles, and so on. On each graph, the totals are displayed at 1-minute granularity, grouped by Amazon Region.

If you see a spike in errors that you want to investigate, you can choose a function and then view log files by Amazon Region, until you determine which function is causing the problems and in which Amazon Region. For more information about troubleshooting Lambda@Edge errors, see:

You can customize the graphs by doing the following:

To view the graphs in the CloudWatch console, choose Add to dashboard. You must use the US East (N. Virginia) Region (us-east-1) to view the graphs in the CloudWatch console.

Viewing the default CloudFront Functions metrics

CloudFront Functions sends operational metrics to Amazon CloudWatch so that you can monitor your functions. Viewing these metrics can help you troubleshoot, track, and debug issues. CloudFront Functions publishes the following metrics to CloudWatch:

CloudFront KeyValueStore also sends the following operational metrics to Amazon CloudWatch:

To view these metrics in the CloudFront console, go to the Monitoring page. To view graphs for a specific function, choose Functions, select the function, and then choose View function metrics.

All of these metrics are published to CloudWatch in the US East (N. Virginia) Region (us-east-1), in the CloudFront namespace. You can also view these metrics in the CloudWatch console. In the CloudWatch console, you can view the metrics per function or per function per distribution.

You can also use CloudWatch to set alarms based on these metrics. For example, you can set an alarm based on the execution time (FunctionComputeUilization) metric, which represents the percentage of available time that your function took to run. When the execution time reaches a certain value for a certain amount of time—for example, greater than 70% of available time for 15 continuous minutes—the alarm is triggered. You specify the alarms value and its time unit when you create the alarm.

For information about how to get these metrics with the CloudWatch API, see Getting metrics using the CloudWatch API.