[][src]Struct rusoto_cloudtrail::DataResource

pub struct DataResource {
    pub type_: Option<String>,
    pub values: Option<Vec<String>>,
}

The Amazon S3 buckets or AWS Lambda functions that you specify in your event selectors for your trail to log data events. Data events provide insight into the resource operations performed on or within a resource itself. These are also known as data plane operations. You can specify up to 250 data resources for a trail.

The total number of allowed data resources is 250. This number can be distributed between 1 and 5 event selectors, but the total cannot exceed 250 across all selectors.

The following example demonstrates how logging works when you configure logging of all data events for an S3 bucket named bucket-1. In this example, the CloudTrail user spcified an empty prefix, and the option to log both Read and Write data events.

  1. A user uploads an image file to bucket-1.

  2. The PutObject API operation is an Amazon S3 object-level API. It is recorded as a data event in CloudTrail. Because the CloudTrail user specified an S3 bucket with an empty prefix, events that occur on any object in that bucket are logged. The trail processes and logs the event.

  3. A user uploads an object to an Amazon S3 bucket named arn:aws:s3:::bucket-2.

  4. The PutObject API operation occurred for an object in an S3 bucket that the CloudTrail user didn't specify for the trail. The trail doesn’t log the event.

The following example demonstrates how logging works when you configure logging of AWS Lambda data events for a Lambda function named MyLambdaFunction, but not for all AWS Lambda functions.

  1. A user runs a script that includes a call to the MyLambdaFunction function and the MyOtherLambdaFunction function.

  2. The Invoke API operation on MyLambdaFunction is an AWS Lambda API. It is recorded as a data event in CloudTrail. Because the CloudTrail user specified logging data events for MyLambdaFunction, any invocations of that function are logged. The trail processes and logs the event.

  3. The Invoke API operation on MyOtherLambdaFunction is an AWS Lambda API. Because the CloudTrail user did not specify logging data events for all Lambda functions, the Invoke operation for MyOtherLambdaFunction does not match the function specified for the trail. The trail doesn’t log the event.

Fields

type_: Option<String>

The resource type in which you want to log data events. You can specify AWS::S3::Object or AWS::Lambda::Function resources.

values: Option<Vec<String>>

An array of Amazon Resource Name (ARN) strings or partial ARN strings for the specified objects.

Trait Implementations

impl PartialEq<DataResource> for DataResource[src]

impl Default for DataResource[src]

impl Clone for DataResource[src]

fn clone_from(&mut self, source: &Self)
1.0.0
[src]

Performs copy-assignment from source. Read more

impl Debug for DataResource[src]

impl Serialize for DataResource[src]

impl<'de> Deserialize<'de> for DataResource[src]

Auto Trait Implementations

impl Send for DataResource

impl Sync for DataResource

Blanket Implementations

impl<T> From for T[src]

impl<T, U> Into for T where
    U: From<T>, 
[src]

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

impl<T, U> TryFrom for T where
    T: From<U>, 
[src]

type Error = !

🔬 This is a nightly-only experimental API. (try_from)

The type returned in the event of a conversion error.

impl<T> Borrow for T where
    T: ?Sized
[src]

impl<T> BorrowMut for T where
    T: ?Sized
[src]

impl<T, U> TryInto for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

🔬 This is a nightly-only experimental API. (try_from)

The type returned in the event of a conversion error.

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> DeserializeOwned for T where
    T: Deserialize<'de>, 
[src]

impl<T> Erased for T

impl<T> Same for T

type Output = T

Should always be Self