## Problem
Currently, even if `LAMBDA_REMOTE_DOCKER=1`, we unzip the zip files in the directory they are in, which is usually /var/lib/localstack, which usually has a bind mount to the host.
On docker desktop, due to the use of grpc-FUSE (on macos), this can be very slow, about 200 times slower than on volumes / directly on the host. With experimental virtio filesystem enabled (also on macos), this can be reduced to about 30 times as slow, but still problematic.
This means a lambda may take a lot of time processing, for each additional layer some more. This especially affects nodejs lambdas with huge node_modules folders.

## Probable solution
At least if `LAMBDA_REMOTE_DOCKER=1`, we should leave the initial zip files on the bind mount (for persistence etc), but the working directories after unzipping should be located on non-bind mounts, to speed up the IO for unzipping.
LOG.debug("Cleaning up docker-reuse executor. Set arn: %s", arn)
        if arn:
            self.function_invoke_times.pop(arn, None)
            return self.destroy_docker_container(arn)
        self.function_invoke_times = {}
        return self.destroy_existing_docker_containers()
    def prime_docker_container(
        self,
        lambda_function: LambdaFunction,
        env_vars: Dict,
        lambda_cwd: str,
        docker_flags: str = None,
    ):
        """
        Prepares a persistent docker container for a specific function.
        :param lambda_function: The Details of the lambda function.
        :param env_vars: The environment variables for the lambda.
        :param lambda_cwd: The local directory containing the code for the lambda function.
        :return: ContainerInfo class containing the container name and default entry point.
        """
        with self.docker_container_lock:
            
            func_arn = lambda_function.arn()
            container_name = self.get_container_name(func_arn)
            status = self.get_docker_container_status(func_arn)
            LOG.debug('Priming Docker container (status "%s"): %s', status, container_name)
            docker_image = Util.docker_image_for_lambda(lambda_function)
            
            if status < 1: