可以在没有外部IP地址的情况下运行Google Cloud Dataflow吗?

本文介绍了可以在没有外部IP地址的情况下运行Google Cloud Dataflow吗?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我们在扩大Google Cloud Dataflow的使用率时注意到的一点是，我们将开始超出使用中IP地址的配额.我们知道，请求增加配额是一种选择(并且已经这样做，并且已经被CPU批准)，但是想知道是否(或将可能)在没有外部IP地址的情况下运行Dataflow实例(两者都可以)出于配额原因以及IP地址的费用.

Something we noticed while working on scaling up our usage of Google Cloud Dataflow was that we would start to run up against our quota on In-use IP addresses. We are aware that requesting a quota increase is an option (and have already done so and been approved as such for CPU's) but wanted to know if it is (or is going to be) possible to run Dataflow instances without external IP addresses (both for quota reasons and because of the cost of IP addresses).

推荐答案

当前无法在没有外部IP地址的情况下运行Google Cloud Dataflow实例.如果您需要其他工人，则应请求增加配额.

It is not currently possible to run Google Cloud Dataflow instances without external IP addresses. If you need additional workers, you should request the quota increase.