## 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.
runtime = lambda_function.runtime
        env_vars = inv_context.environment
        
        with self.docker_container_lock:
            env_vars["_LAMBDA_SERVER_PORT"] = str(self.next_port + self.port_offset)
            self.next_port = (self.next_port + 1) % self.max_port
        
        LOG.debug(
            'Priming docker container with runtime "%s" and arn "%s".',
            runtime,
            func_arn,
        )
        container_info = self.prime_docker_container(
            lambda_function, dict(env_vars), lambda_cwd, inv_context.docker_flags
        )
        if not inv_context.lambda_command and inv_context.handler:
            command = shlex.split(container_info.entry_point)
            command.append(inv_context.handler)
            inv_context.lambda_command = command
        lambda_docker_ip = DOCKER_CLIENT.get_container_ip(container_info.name)
        if not self._should_use_stay_open_mode(lambda_function, lambda_docker_ip, check_port=True):
            LOG.debug("Using 'docker exec' to run invocation in docker-reuse Lambda container")
            
            env_vars["DOCKER_LAMBDA_STAY_OPEN"] = None
            return DOCKER_CLIENT.exec_in_container(
                container_name_or_id=container_info.name,
                command=inv_context.lambda_command,
                interactive=True,
                env_vars=env_vars,
                stdin=stdin,