class Amazonite::CloudWatchLogs::PutDataProtectionPolicyRequest

Included Modules

Defined in:

cloudwatch_logs/put_data_protection_policy_request.cr

Constructors

Instance Method Summary

Constructor Detail

def self.new(log_group_identifier : String, policy_document : String) #

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def self.new(pull : JSON::PullParser) #

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def self.new(*, __pull_for_json_serializable pull : JSON::PullParser) #

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Instance Method Detail

def ==(other : self) #
Description copied from class Reference

Returns true if this reference is the same as other. Invokes same?.


def hash(hasher) #
Description copied from class Reference

See Object#hash(hasher)


def log_group_identifier : String #

Specify either the log group name or log group ARN.


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def log_group_identifier=(log_group_identifier : String) #

Specify either the log group name or log group ARN.


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def policy_document : String #

Specify the data protection policy, in JSON.

This policy must include two JSON blocks:

  • The first block must include both a DataIdentifer array and an Operation property with an Audit action. The DataIdentifer array lists the types of sensitive data that you want to mask. For more information about the available options, see Types of data that you can mask.

The Operation property with an Audit action is required to find the sensitive data terms. This Audit action must contain a FindingsDestination object. You can optionally use that FindingsDestination object to list one or more destinations to send audit findings to. If you specify destinations such as log groups, Firehose streams, and S3 buckets, they must already exist.

  • The second block must include both a DataIdentifer array and an Operation property with an Deidentify action. The DataIdentifer array must exactly match the DataIdentifer array in the first block of the policy.

The Operation property with the Deidentify action is what actually masks the data, and it must contain the "MaskConfig": {} object. The "MaskConfig": {} object must be empty.

For an example data protection policy, see the Examples section on this page.

The contents of the two DataIdentifer arrays must match exactly.

In addition to the two JSON blocks, the policyDocument can also include Name, Description, and Version fields. The Name is used as a dimension when CloudWatch Logs reports audit findings metrics to CloudWatch.

The JSON specified in policyDocument can be up to 30,720 characters.


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def policy_document=(policy_document : String) #

Specify the data protection policy, in JSON.

This policy must include two JSON blocks:

  • The first block must include both a DataIdentifer array and an Operation property with an Audit action. The DataIdentifer array lists the types of sensitive data that you want to mask. For more information about the available options, see Types of data that you can mask.

The Operation property with an Audit action is required to find the sensitive data terms. This Audit action must contain a FindingsDestination object. You can optionally use that FindingsDestination object to list one or more destinations to send audit findings to. If you specify destinations such as log groups, Firehose streams, and S3 buckets, they must already exist.

  • The second block must include both a DataIdentifer array and an Operation property with an Deidentify action. The DataIdentifer array must exactly match the DataIdentifer array in the first block of the policy.

The Operation property with the Deidentify action is what actually masks the data, and it must contain the "MaskConfig": {} object. The "MaskConfig": {} object must be empty.

For an example data protection policy, see the Examples section on this page.

The contents of the two DataIdentifer arrays must match exactly.

In addition to the two JSON blocks, the policyDocument can also include Name, Description, and Version fields. The Name is used as a dimension when CloudWatch Logs reports audit findings metrics to CloudWatch.

The JSON specified in policyDocument can be up to 30,720 characters.


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def validate! : Nil #

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