## 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.
region = LambdaRegion.get()
    arn = func_arn(function)
    lambda_function = region.lambdas.get(arn)
    if not lambda_function:
        return not_found_error(arn)
    lambda_cwd = lambda_function.cwd
    tmp_file = "%s/%s" % (lambda_cwd, LAMBDA_ZIP_FILE_NAME)
    return Response(
        load_file(tmp_file, mode="rb"),
        mimetype="application/zip",
        headers={"Content-Disposition": "attachment; filename=lambda_archive.zip"},
    )
@app.route("%s/functions/<function>/configuration" % API_PATH_ROOT, methods=["GET"])
def get_function_configuration(function):
    """Get the configuration of an existing function
    ---
    operationId: 'getFunctionConfiguration'
    parameters:
    """
    region = LambdaRegion.get()
    arn = func_arn(function)
    lambda_details = region.lambdas.get(arn)
    if not lambda_details:
        return not_found_error(arn)
    result = format_func_details(lambda_details)
    return jsonify(result)
@app.route("%s/functions/<function>/configuration" % API_PATH_ROOT, methods=["PUT"])
def update_function_configuration(function):
    """Update the configuration of an existing function
    ---