I'm currently working on a process by which a kinesis stream triggers a lambda function to process a batch of records.  Whenever the `putRecords` method is used with a large amount of records, the call to trigger the lambda will fail b/c the argument list is too long.  The command is:

```
CONTAINER_ID="$(docker create  -e AWS_LAMBDA_FUNCTION_INVOKED_ARN="$AWS_LAMBDA_FUNCTION_INVOKED_ARN" -e AWS_LAMBDA_FUNCTION_NAME="$AWS_LAMBDA_FUNCTION_NAME" -e AWS_LAMBDA_EVENT_BODY="$AWS_LAMBDA_EVENT_BODY" -e AWS_LAMBDA_FUNCTION_VERSION="$AWS_LAMBDA_FUNCTION_VERSION" -e LOCALSTACK_HOSTNAME="$LOCALSTACK_HOSTNAME"  "lambci/lambda:nodejs8.10" "index.handler")"
```

Instead of sending the event body to the lambda via an argument list, the body should be written to a file that is then copied into the docker and then the command should reference the file  in the arguments list.

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return moto_main([api, '-p', str(port), '-H', constants.BIND_HOST])
    thread = FuncThread(thread_func)
    thread.start()
    TMP_THREADS.append(thread)
    result['port'] = port
    result['thread'] = thread
    return result
def start_server(port):
    class ConfigListener(ProxyListener):
        def forward_request(self, method, path, data, **kwargs):
            response = Response()
            response.status_code = 200
            response._content = '{}'
            try:
                if path == API_PATH_SERVERS:
                    if method == 'POST':
                        start_api_server_locally(json.loads(to_str(data)))
                    elif method == 'GET':
                        response._content = json.dumps(json_safe(API_SERVERS))
            except Exception as e:
                LOG.error('Unable to process request: %s' % e)
                response.status_code = 500
                response._content = str(e)
            return response
    proxy = GenericProxy(port, update_listener=ConfigListener())
    proxy.start()
    proxy.join()
def start_api_server(api, port, server_port=None):