## 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.
use_docker(),
                    config.LAMBDA_REMOTE_DOCKER,
                )
                LOG.debug("Lambda archive content:\n%s", file_list)
                raise ClientError(
                    error_response(
                        f"Unable to find handler script ({main_file}) in Lambda archive. {config_debug}",
                        400,
                        error_type="ValidationError",
                    )
                )
        
        if runtime.startswith("python") and not use_docker():
            try:
                
                ensure_readable(main_file)
                zip_file_content = load_file(main_file, mode="rb")
                
                handler_function = get_handler_function_from_name(handler_name, runtime=runtime)
                lambda_handler = exec_lambda_code(
                    zip_file_content,
                    handler_function=handler_function,
                    lambda_cwd=lambda_cwd,
                    lambda_env=lambda_environment,
                )
            except Exception as e:
                raise ClientError("Unable to get handler function from lambda code: %s" % e)
        if runtime.startswith("node") and not use_docker():
            ensure_readable(main_file)
            def execute(event, context):