[英]In-use IP addresses run out with Google App Engine Flexible Environment
I'm running into an autoscaling issue with my application deployed to GAE Flexible Env. 我的应用程序部署到GAE Flexible Env时遇到自动缩放问题。 When under load, the application can only spawn to 4 instance before hitting the quota for
In-use IP addresses
, which is 8 in my case. 在负载下,应用程序在达到
In-use IP addresses
的配额( In-use IP addresses
我的情况下为8)之前只能生成4个实例。 I do have another service that constantly runs on 2 instance, which seems to be using the same quota. 我确实有另一项服务始终在2个实例上运行,这似乎使用了相同的配额。 I have another application that runs on Standard Env, and it had no issue.
我有另一个在Standard Env上运行的应用程序,它没有问题。
With only 4 instance, the application can't really scale up. 仅使用4个实例,应用程序就无法真正扩展。 Is there anyway to get around that quota?
反正有没有解决这个配额?
You cannot increase the quota. 您不能增加配额。 I talked to Google about this, and it seems the best solution is use a different region in a new project if you can, and US-central is the one that gonna have the best quota and all the new technology.
我曾与Google谈过这个问题,似乎最好的解决方案是在新项目中使用不同的区域,而以美国为中心的解决方案将拥有最好的配额和所有新技术。
Update on Jun.1 2018: I just confirmed that the quota for In-use IP addresses
under Compute Engine API
in us-east4
is still 8. I can confirm that there is the Edit Quota
button where you need to talk to Google to increase it. 2018年6月1日更新:我刚刚确认
us-east4
Compute Engine API
下In-use IP addresses
的配额仍然为8。我可以确认是否存在“ Edit Quota
按钮,您需要在此与Google进行交流以增加它。 One of my colleague in fact did increased another quota through that route. 实际上,我的一位同事确实通过那条路线增加了另一个配额。 Although based on my previous conversation with Google, I would still recommend using
us-central
as you home data centre as it offers more flexibility in terms of both available technologies and quotas. 尽管根据我之前与Google的对话,我仍然建议使用
us-central
作为您的家庭数据中心,因为它在可用技术和配额方面都提供了更大的灵活性。
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