Lambda / Client / put_function_concurrency

put_function_concurrency#

Lambda.Client.put_function_concurrency(**kwargs)#

Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level.

Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function.

Use GetAccountSettings to see your Regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren’t configured with a per-function limit. For more information, see Lambda function scaling.

See also: AWS API Documentation

Request Syntax

response = client.put_function_concurrency(
    FunctionName='string',
    ReservedConcurrentExecutions=123
)
Parameters:

  • FunctionName (string) –

    [REQUIRED]

    The name or ARN of the Lambda function.

    Name formats

    • Function name – my-function.

    • Function ARN – arn:aws:lambda:us-west-2:123456789012:function:my-function.

    • Partial ARN – 123456789012:function:my-function.

    The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.

  • ReservedConcurrentExecutions (integer) –

    [REQUIRED]

    The number of simultaneous executions to reserve for the function.

Return type:

dict

Returns:

Response Syntax

{
    'ReservedConcurrentExecutions': 123
}

Response Structure

  • (dict) –

    • ReservedConcurrentExecutions (integer) –

      The number of concurrent executions that are reserved for this function. For more information, see Managing Lambda reserved concurrency.

Exceptions

Examples

The following example configures 100 reserved concurrent executions for the my-function function.

response = client.put_function_concurrency(
    FunctionName='my-function',
    ReservedConcurrentExecutions=100,
)

print(response)

Expected Output:

{
    'ReservedConcurrentExecutions': 100,
    'ResponseMetadata': {
        '...': '...',
    },
}