## 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.
environment["AWS_LAMBDA_FUNCTION_NAME"] = context.function_name
            environment["AWS_LAMBDA_FUNCTION_VERSION"] = context.function_version
            environment["AWS_LAMBDA_FUNCTION_INVOKED_ARN"] = context.invoked_function_arn
            environment["AWS_LAMBDA_FUNCTION_MEMORY_SIZE"] = str(context.memory_limit_in_mb)
        
        queue = Queue()
        lambda_function_callable = self.get_lambda_callable(
            lambda_function, qualifier=inv_context.function_version
        )
        def do_execute():
            
            result = None
            try:
                if lambda_cwd:
                    os.chdir(lambda_cwd)
                    sys.path.insert(0, "")
                if environment:
                    os.environ.update(environment)
                
                self.set_default_env_variables()
                
                result = lambda_function_callable(inv_context.event, context)
            except Exception as e:
                result = str(e)
                sys.stderr.write("%s %s" % (e, traceback.format_exc()))
                raise
            finally:
                queue.put(result)
        process = Process(target=do_execute)
        start_time = now(millis=True)