AWS appstream2 documentation change
Summary
Updated product name from 'AppStream 2.0' to 'WorkSpaces Applications' throughout the document, including title and service references
Security assessment
Changes are purely branding/product name updates without any security context or vulnerability references. No security features or risks are introduced or modified.
Diff
diff --git a/appstream2/latest/developerguide/usage-report-types-sessions-reports.md b/appstream2/latest/developerguide/usage-report-types-sessions-reports.md index 9157118d4..455170b39 100644 --- a//appstream2/latest/developerguide/usage-report-types-sessions-reports.md +++ b//appstream2/latest/developerguide/usage-report-types-sessions-reports.md @@ -3 +3 @@ -[Documentation](/index.html)[Amazon AppStream 2.0](/appstream2/index.html)[Administration Guide](what-is-appstream.html) +[Documentation](/index.html)[Amazon WorkSpaces Applications](/appstream2/index.html)[Administration Guide](what-is-appstream.html) @@ -5 +5 @@ -# AppStream 2.0 Sessions Reports +# WorkSpaces Applications Sessions Reports @@ -7 +7 @@ -For each day that users launch at least one streaming session in your Amazon Web Services account, AppStream 2.0 exports a sessions report to your Amazon S3 bucket. The report, named **daily-session-report-[YYYY]-[MM]-[DD].csv** , is stored in a nested folder structure in your Amazon S3 account, using the following folder path: +For each day that users launch at least one streaming session in your Amazon Web Services account, WorkSpaces Applications exports a sessions report to your Amazon S3 bucket. The report, named **daily-session-report-[YYYY]-[MM]-[DD].csv** , is stored in a nested folder structure in your Amazon S3 account, using the following folder path: @@ -11 +11 @@ For each day that users launch at least one streaming session in your Amazon Web -This nesting structure facilitates partitioning if you choose to query your reports by using Amazon Athena. Athena is a serverless, interactive query service that you can use to analyze data stored in your S3 buckets using standard SQL. For more information, see [Create Custom Reports and Analyze AppStream 2.0 Usage Data](./configure-custom-reports-analyze-usage-data.html). +This nesting structure facilitates partitioning if you choose to query your reports by using Amazon Athena. Athena is a serverless, interactive query service that you can use to analyze data stored in your S3 buckets using standard SQL. For more information, see [Create Custom Reports and Analyze WorkSpaces Applications Usage Data](./configure-custom-reports-analyze-usage-data.html).