## 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.
func_arn,
            lambda_function,
            event,
            context=context,
            version=version,
            asynchronous=asynchronous,
            callback=callback,
            lock_discriminator=lock_discriminator,
        )
        return result
    except ClientError:
        raise
    except Exception as e:
        exc_type, exc_value, exc_traceback = sys.exc_info()
        response = {
            "errorType": str(exc_type.__name__),
            "errorMessage": str(e),
            "stackTrace": traceback.format_tb(exc_traceback),
        }
        LOG.info("Error executing Lambda function %s: %s %s", func_arn, e, traceback.format_exc())
        if isinstance(e, lambda_executors.InvocationException):
            exc_result = e.result
            response = run_safe(lambda: json.loads(exc_result)) or response
        log_output = e.log_output if isinstance(e, lambda_executors.InvocationException) else ""
        return InvocationResult(Response(json.dumps(response), status=500), log_output)
    finally:
        if suppress_output:
            sys.stdout = stdout_
            sys.stderr = stderr_
def load_source(name, file):