-
Notifications
You must be signed in to change notification settings - Fork 95
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Provide automated load testing to benchmark performance of intercepting #447
Comments
Very much interested to know more about the performance of this component. Seems like it has potential, but also could very easily be a bottleneck at scale. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions. |
This issue has been automatically closed due to inactivity. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions. |
This issue has been automatically closed due to inactivity. |
so, the expectation here is that an automated process creates a kubernetes cluster (version or versions?), install keda (versions?) and the http-addon, deploy perhaps tens, hundreds or thousands of fake APIs, hook some of those APIs to the http add-on, and them hit those deployments with variance? |
@JorTurFer Did some work in this area, not sure where we are on this? |
We did some work related with this for KEDA, but nothing done for the add-on. The behavior that I'd expect is that from time to time, the add-on is deployed into a real cluster and execute a synthetic load passing through the interceptor to some fake APIs |
Provide automated load testing to benchmark performance of intercepting.
We can use Artillery, Azure Load Testing, etc.
The text was updated successfully, but these errors were encountered: