## 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.
result = lambda_executors.EXECUTOR_LOCAL.execute_javascript_lambda(
                    event, context, main_file=main_file, lambda_function=lambda_function
                )
                return result
            lambda_handler = execute
        if runtime.startswith("go1") and not use_docker():
            install_go_lambda_runtime()
            ensure_readable(main_file)
            def execute_go(event, context):
                result = lambda_executors.EXECUTOR_LOCAL.execute_go_lambda(
                    event, context, main_file=main_file, lambda_function=lambda_function
                )
                return result
            lambda_handler = execute_go
    if lambda_handler:
        lambda_executors.LambdaExecutorLocal.add_function_callable(lambda_function, lambda_handler)
    return lambda_handler
def do_list_functions():
    funcs = []
    region = LambdaRegion.get()
    this_region = aws_stack.get_region()
    for f_arn, func in region.lambdas.items():
        if type(func) != LambdaFunction:
            continue
        
        func_region = f_arn.split(":")[3]
        if func_region != this_region:
            continue
        func_name = f_arn.split(":function:")[-1]
        arn = func_arn(func_name)