Monitoring Amazon Q Developer with Amazon CloudWatch
Note
The metrics discussed here only pertain to using Amazon Q in your IDE.
You can monitor Amazon Q Developer using CloudWatch, which collects raw data and processes it into readable, near real-time metrics. These statistics are kept for 15 months, so that you can access historical information and gain a better perspective on how Amazon Q is performing. You can also set alarms that watch for certain thresholds, and send notifications or take actions when those thresholds are met. For more information, see the Amazon CloudWatch User Guide.
The Amazon Q Developer service reports the following metrics
in the AWS/CodeWhisperer namespace.
| Dimensions | Metric | Use case or explanation |
|---|---|---|
|
Count |
Invocations |
You want to determine how many invocations have been counted over time. |
|
UserCount |
DailyActiveUserTrend |
You want to determine the number of active users per day. |
|
SubscriptionUserCount |
SubscriptionCount |
You want to determine the number of users with paying subscriptions. |
|
UniqueUserCount |
MonthlyActiveUniqueUsers |
You want to determine the number of users who are active in a given month. |
|
ProgrammingLanguage, SuggestionState, CompletionType |
GeneratedLineCount |
You want to determine the number of lines generated by CodeWhisperer. |
|
ProgrammingLanguage, SuggestionState, CompletionType |
SuggestionReferenceCount |
You want to determine the number of recommendation triggers with references that have taken place. |
|
ProgrammingLanguage |
CodeScanCount |
You want to determine the number of code scans that have taken place. |
|
ProgrammingLanguage |
TotalCharacterCount |
The number of characters in your file, including all suggestions from CodeWhisperer. |
|
ProgrammingLanguage |
CodeWhispererCharacterCount |
The number of characters generated by CodeWhisperer. |
To aggregate Invocations, use the Sum statistic.
To aggregate DailyActiveUserTrend, use the Sum statistic, and use "1 Day" as the period.
To aggregate SubscriptionCount, use the Sum statistic.
To aggregate MonthlyActiveUniqueUsers use the Sum statistic, and use "30 Days" as the period.
