## 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.
operationId: 'updateFunctionConfiguration'
    parameters:
        - name: 'request'
          in: body
    """
    region = LambdaRegion.get()
    data = json.loads(to_str(request.data))
    arn = func_arn(function)
    
    LAMBDA_EXECUTOR.cleanup(arn)
    lambda_details = region.lambdas.get(arn)
    if not lambda_details:
        return not_found_error('Unable to find Lambda function ARN "%s"' % arn)
    if data.get("Handler"):
        lambda_details.handler = data["Handler"]
    if data.get("Runtime"):
        lambda_details.runtime = data["Runtime"]
    lambda_details.set_dead_letter_config(data)
    env_vars = data.get("Environment", {}).get("Variables")
    if env_vars is not None:
        lambda_details.envvars = env_vars
    if data.get("Timeout"):
        lambda_details.timeout = data["Timeout"]
    if data.get("Role"):
        lambda_details.role = data["Role"]
    if data.get("MemorySize"):
        lambda_details.memory_size = data["MemorySize"]
    if data.get("Description"):
        lambda_details.description = data["Description"]
    if data.get("VpcConfig"):