## 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.
container_config.env_vars["DOCKER_LAMBDA_API_PORT"] = port
            container_config.env_vars["DOCKER_LAMBDA_RUNTIME_PORT"] = port
        container_config.additional_flags = inv_context.docker_flags or ""
        container_config.dns = config.LAMBDA_DOCKER_DNS
        container_config.ports = PortMappings()
        if Util.debug_java_port:
            container_config.ports.add(Util.debug_java_port)
        container_config.command = inv_context.lambda_command
        container_config.remove = True
        container_config.interactive = True
        container_config.detach = background
        lambda_cwd = lambda_function.cwd
        if lambda_cwd:
            if config.LAMBDA_REMOTE_DOCKER:
                container_config.required_files.append((f"{lambda_cwd}/.", DOCKER_TASK_FOLDER))
            else:
                container_config.required_files.append(
                    (Util.get_host_path_for_path_in_docker(lambda_cwd), DOCKER_TASK_FOLDER)
                )
        
        on_docker_separate_execution.run(lambda_function, container_config)
        
        
        if not config.LAMBDA_REMOTE_DOCKER and container_config.required_files:
            container_config.volumes = container_config.volumes or []
            container_config.volumes += container_config.required_files
        container_id = DOCKER_CLIENT.create_container(
            image_name=container_config.image_name,
            interactive=container_config.interactive,
            entrypoint=container_config.entrypoint,