### Is there an existing issue for this?

- [X] I have searched the existing issues

### Feature description

Basically we want to only run the lambda when an insert is occurring in DynamoDB.
I tested using Dynobase deleting a record and the lambda still triggered.

```
resource "aws_lambda_event_source_mapping" "event-log" {
	event_source_arn  = aws_dynamodb_table.event-log.stream_arn
	function_name     = module.main.lambda-arn
	starting_position = "LATEST"
	enabled = true # change to false when truncating the table in localstack
	maximum_retry_attempts = 1 # limit retry on failure to 1 for now

	# https://dev.to/aws-builders/filtering-dynamodb-streams-before-lambda-p5p
	filter_criteria { # Doesn't seem to work on LocalStack for now
		filter {
			pattern = jsonencode({
				body = {
					eventName : ["INSERT"]
				}
			})
		}
	}
}
```


### 🧑‍💻 Implementation

_No response_

### Anything else?

 https://dev.to/aws-builders/filtering-dynamodb-streams-before-lambda-p5p
"""
        Spawn coordinator thread for listening to relevant new/removed event source mappings
        """
        if self._COORDINATOR_THREAD is not None:
            return
        LOG.debug(f"Starting {self.source_type()} event source listener coordinator thread")
        self._COORDINATOR_THREAD = FuncThread(self._monitor_stream_event_sources)
        self._COORDINATOR_THREAD.start()
    def _invoke_lambda(
        self, function_arn, payload, lock_discriminator, parallelization_factor
    ) -> Tuple[bool, int]:
        """
        invoke a given lambda function
        :returns: True if the invocation was successful (False otherwise) and the status code of the invocation result
        """
        if not config.SYNCHRONOUS_KINESIS_EVENTS:
            lambda_executors.LAMBDA_ASYNC_LOCKS.assure_lock_present(
                lock_discriminator, threading.BoundedSemaphore(parallelization_factor)
            )
        else:
            lock_discriminator = None
        result = run_lambda(
            func_arn=function_arn,
            event=payload,
            context={},