PutAccountPolicy

Creates an account-level data protection policy, subscription filter policy, field index policy, transformer policy, or metric extraction policy that applies to all log groups, a subset of log groups, or a data source name and type combination in the account.

For field index policies, you can configure indexed fields as facets to enable interactive exploration of your logs. Facets provide value distributions and counts for indexed fields in the CloudWatch Logs Insights console without requiring query execution. For more information, see Use facets to group and explore logs.

To use this operation, you must be signed on with the correct permissions depending on the type of policy that you are creating.

Data protection policy

A data protection policy can help safeguard sensitive data that's ingested by your log groups by auditing and masking the sensitive log data. Each account can have only one account-level data protection policy.

If you use PutAccountPolicy to create a data protection policy for your whole account, it applies to both existing log groups and all log groups that are created later in this account. The account-level policy is applied to existing log groups with eventual consistency. It might take up to 5 minutes before sensitive data in existing log groups begins to be masked.

By default, when a user views a log event that includes masked data, the sensitive data is replaced by asterisks. A user who has the logs:Unmask permission can use a GetLogEvents or FilterLogEvents operation with the unmask parameter set to true to view the unmasked log events. Users with the logs:Unmask can also view unmasked data in the CloudWatch Logs console by running a CloudWatch Logs Insights query with the unmask query command.

For more information, including a list of types of data that can be audited and masked, see Protect sensitive log data with masking.

To use the PutAccountPolicy operation for a data protection policy, you must be signed on with the logs:PutDataProtectionPolicy and logs:PutAccountPolicy permissions.

The PutAccountPolicy operation applies to all log groups in the account. You can use PutDataProtectionPolicy to create a data protection policy that applies to just one log group. If a log group has its own data protection policy and the account also has an account-level data protection policy, then the two policies are cumulative. Any sensitive term specified in either policy is masked.

Subscription filter policy

A subscription filter policy sets up a real-time feed of log events from CloudWatch Logs to other AWS services. Account-level subscription filter policies apply to both existing log groups and log groups that are created later in this account. Supported destinations are Kinesis Data Streams, Firehose, and Lambda. When log events are sent to the receiving service, they are Base64 encoded and compressed with the GZIP format.

The following destinations are supported for subscription filters:

Each account can have one account-level subscription filter policy per Region. If you are updating an existing filter, you must specify the correct name in PolicyName. To perform a PutAccountPolicy subscription filter operation for any destination except a Lambda function, you must also have the iam:PassRole permission.

Transformer policy

Creates or updates a log transformer policy for your account. You use log transformers to transform log events into a different format, making them easier for you to process and analyze. You can also transform logs from different sources into standardized formats that contain relevant, source-specific information. After you have created a transformer, CloudWatch Logs performs this transformation at the time of log ingestion. You can then refer to the transformed versions of the logs during operations such as querying with CloudWatch Logs Insights or creating metric filters or subscription filters.

You can also use a transformer to copy metadata from metadata keys into the log events themselves. This metadata can include log group name, log stream name, account ID and Region.

A transformer for a log group is a series of processors, where each processor applies one type of transformation to the log events ingested into this log group. For more information about the available processors to use in a transformer, see Processors that you can use.

Having log events in standardized format enables visibility across your applications for your log analysis, reporting, and alarming needs. CloudWatch Logs provides transformation for common log types with out-of-the-box transformation templates for major AWS log sources such as VPC flow logs, Lambda, and Amazon RDS. You can use pre-built transformation templates or create custom transformation policies.

You can create transformers only for the log groups in the Standard log class.

You can have one account-level transformer policy that applies to all log groups in the account. Or you can create as many as 20 account-level transformer policies that are each scoped to a subset of log groups with the selectionCriteria parameter. If you have multiple account-level transformer policies with selection criteria, no two of them can use the same or overlapping log group name prefixes. For example, if you have one policy filtered to log groups that start with my-log, you can't have another transformer policy filtered to my-logpprod or my-logging.

You can also set up a transformer at the log-group level. For more information, see PutTransformer. If there is both a log-group level transformer created with PutTransformer and an account-level transformer that could apply to the same log group, the log group uses only the log-group level transformer. It ignores the account-level transformer.

Field index policy

You can use field index policies to create indexes on fields found in log events for a log group or data source name and type combination. Creating field indexes can help lower the scan volume for CloudWatch Logs Insights queries that reference those fields, because these queries attempt to skip the processing of log events that are known to not match the indexed field. Good fields to index are fields that you often need to query for and fields or values that match only a small fraction of the total log events. Common examples of indexes include request ID, session ID, user IDs, or instance IDs. For more information, see Create field indexes to improve query performance and reduce costs

To find the fields that are in your log group events, use the GetLogGroupFields operation. To find the fields for a data source use the GetLogFields operation.

For example, suppose you have created a field index for requestId. Then, any CloudWatch Logs Insights query on that log group that includes requestId = value or requestId in [value, value, ...] will attempt to process only the log events where the indexed field matches the specified value.

Matches of log events to the names of indexed fields are case-sensitive. For example, an indexed field of RequestId won't match a log event containing requestId.

You can have one account-level field index policy that applies to all log groups in the account. Or you can create as many as 20 account-level field index policies that are each scoped to a subset of log groups using LogGroupNamePrefix with the selectionCriteria parameter. You can have another 20 account-level field index policies using DataSourceName and DataSourceType for the selectionCriteria parameter. If you have multiple account-level index policies with LogGroupNamePrefix selection criteria, no two of them can use the same or overlapping log group name prefixes. For example, if you have one policy filtered to log groups that start with my-log, you can't have another field index policy filtered to my-logpprod or my-logging. Similarly, if you have multiple account-level index policies with DataSourceName and DataSourceType selection criteria, no two of them can use the same data source name and type combination. For example, if you have one policy filtered to the data source name amazon_vpc and data source type flow you cannot create another policy with this combination.

If you create an account-level field index policy in a monitoring account in cross-account observability, the policy is applied only to the monitoring account and not to any source accounts.

CloudWatch Logs provides default field indexes for all log groups in the Standard log class. Default field indexes are automatically available for the following fields:

CloudWatch Logs provides default field indexes for certain data source name and type combinations as well. Default field indexes are automatically available for the following data source name and type combinations as identified in the following list:

amazon_vpc.flow

amazon_route53.resolver_query

aws_waf.access

aws_cloudtrail.data, aws_cloudtrail.management

Default field indexes are in addition to any custom field indexes you define within your policy. Default field indexes are not counted towards your field index quota.

If you want to create a field index policy for a single log group, you can use PutIndexPolicy instead of PutAccountPolicy. If you do so, that log group will use that log-group level policy and any account-level policies that match at the data source level; any account-level policy that matches at the log group level (for example, no selection criteria or log group name prefix selection criteria) will be ignored.

Metric extraction policy

A metric extraction policy controls whether CloudWatch Metrics can be created through the Embedded Metrics Format (EMF) for log groups in your account. By default, EMF metric creation is enabled for all log groups. You can use metric extraction policies to disable EMF metric creation for your entire account or specific log groups.

When a policy disables EMF metric creation for a log group, log events in the EMF format are still ingested, but no CloudWatch Metrics are created from them.

Each account can have either one account-level metric extraction policy that applies to all log groups, or up to 5 policies that are each scoped to a subset of log groups with the selectionCriteria parameter. The selection criteria supports filtering by LogGroupName and LogGroupNamePrefix using the operators IN and NOT IN. You can specify up to 50 values in each IN or NOT IN list.

The selection criteria can be specified in these formats:

LogGroupName IN ["log-group-1", "log-group-2"]

LogGroupNamePrefix NOT IN ["/aws/prefix1", "/aws/prefix2"]

If you have multiple account-level metric extraction policies with selection criteria, no two of them can have overlapping criteria. For example, if you have one policy with selection criteria LogGroupNamePrefix IN ["my-log"], you can't have another metric extraction policy with selection criteria LogGroupNamePrefix IN ["/my-log-prod"] or LogGroupNamePrefix IN ["/my-logging"], as the set of log groups matching these prefixes would be a subset of the log groups matching the first policy's prefix, creating an overlap.

When using NOT IN, only one policy with this operator is allowed per account.

When combining policies with IN and NOT IN operators, the overlap check ensures that policies don't have conflicting effects. Two policies with IN and NOT IN operators do not overlap if and only if every value in the IN policy is completely contained within some value in the NOT IN policy. For example:

Request Syntax

{
   "policyDocument": "string",
   "policyName": "string",
   "policyType": "string",
   "scope": "string",
   "selectionCriteria": "string"
}

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

Response Syntax

{
   "accountPolicy": { 
      "accountId": "string",
      "lastUpdatedTime": number,
      "policyDocument": "string",
      "policyName": "string",
      "policyType": "string",
      "scope": "string",
      "selectionCriteria": "string"
   }
}

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

Errors

For information about the errors that are common to all actions, see Common Errors.

Examples

To create a log transformer policy

The following example creates a log transformer that applies to log groups have names that start with test-

Sample Request

POST / HTTP/1.1
[... existing transformer policy example content ...]

To create a metric extraction policy

The following example creates a metric extraction policy that disables EMF metric creation for all log groups except Container Insights log groups.

Sample Request

POST / HTTP/1.1
Host: logs.<region>.<domain>
X-Amz-Date: <DATE>
Authorization: AWS4-HMAC-SHA256 Credential=<Credential>, SignedHeaders=content-type;date;host;user-agent;x-amz-date;x-amz-target;x-amzn-requestid, Signature=<Signature>
User-Agent: <UserAgentString>
Accept: application/json
Content-Type: application/x-amz-json-1.1
Content-Length: <PayloadSizeBytes>
Connection: Keep-Alive
X-Amz-Target: Logs_20140328.PutAccountPolicy
{
    "policyName": "DisableEMFMetrics",
    "policyType": "METRIC_EXTRACTION_POLICY",
    "policyDocument": {
        "EmbeddedMetricFormat": {
            "Status": "Disabled"
        }
    },
    "selectionCriteria": 'LogGroupNamePrefix NOT IN ["/aws/containerinsights", "/aws/ecs/containerinsights"]'
}

To create an account-wide data protection policy

The following example creates an account-wide log group data protection policy.

Sample Request

POST / HTTP/1.1
[... existing data protection policy example content ...]

To create an account-wide subscription filter policy

The following example creates an account-wide subscription filter policy that forwards log events containing the string ERROR to a Kinesis Data Streams stream. The policy applies to all log groups in the account except for LogGroupToExclude1 and LogGroupToExclude12.

Sample Request

POST / HTTP/1.1
[... existing subscription filter policy example content ...]

To create an account-wide field index policy

The following example creates an account-wide field index policy for log groups with names that start with lambda.

Sample Request

POST / HTTP/1.1
[... existing field index policy example content ...]

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: