## 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.
lambda_details.vpc_config = data["VpcConfig"]
    if data.get("KMSKeyArn"):
        lambda_details.kms_key_arn = data["KMSKeyArn"]
    if data.get("TracingConfig"):
        lambda_details.tracing_config = data["TracingConfig"]
    lambda_details.last_modified = datetime.utcnow()
    result = data
    lambda_function = region.lambdas.get(arn)
    result.update(format_func_details(lambda_function))
    
    for plugin in lambda_executors.LambdaExecutorPlugin.get_plugins():
        plugin.init_function_configuration(lambda_function)
    return jsonify(result)
def generate_policy_statement(sid, action, arn, sourcearn, principal):
    statement = {
        "Sid": sid,
        "Effect": "Allow",
        "Action": action,
        "Resource": arn,
    }
    
    if sourcearn:
        condition = {"ArnLike": {"AWS:SourceArn": sourcearn}}
        statement["Condition"] = condition
    
    if principal:
        principal = {"Service": principal}
        statement["Principal"] = principal
    return statement
def generate_policy(sid, action, arn, sourcearn, principal):