You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on May 13, 2024. It is now read-only.
I use gae SDK to run apprtc on Linux platform, use JMeter test tool to access apprtc concurrently 200 times per second, and modify app.yaml files: automatic_ scaling max_ concurrent_ requests =10 max_ instances =2
; I have observed that gae has gradually started more than 300 Python processes to process these HTTP services; My question is how to limit gae to create so many Python processes. I modify max_ concurrent_ The requests value also has no effect. Gae will still gradually start hundreds of Python to process HTTP services; Because if I don't limit the number of started Python instances, the coarse ram resources in the server will be exhausted, so I must limit the running of started Python instances
Steps to reproduce
Expected results
Actual results
The text was updated successfully, but these errors were encountered:
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Browsers and versions affected
Description
I use gae SDK to run apprtc on Linux platform, use JMeter test tool to access apprtc concurrently 200 times per second, and modify app.yaml files: automatic_ scaling max_ concurrent_ requests =10 max_ instances =2
; I have observed that gae has gradually started more than 300 Python processes to process these HTTP services; My question is how to limit gae to create so many Python processes. I modify max_ concurrent_ The requests value also has no effect. Gae will still gradually start hundreds of Python to process HTTP services; Because if I don't limit the number of started Python instances, the coarse ram resources in the server will be exhausted, so I must limit the running of started Python instances
Steps to reproduce
Expected results
Actual results
The text was updated successfully, but these errors were encountered: