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Provide automated load testing to benchmark performance of intercepting #447
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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.
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