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Provide automated load testing to benchmark performance of intercepting #447

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tomkerkhove opened this issue May 11, 2022 · 10 comments
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@tomkerkhove
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Provide automated load testing to benchmark performance of intercepting.

We can use Artillery, Azure Load Testing, etc.

@isugimpy
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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.

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stale bot commented Aug 9, 2022

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.

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@v-shenoy v-shenoy self-assigned this Aug 16, 2022
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stale bot commented Oct 15, 2022

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.

@stale stale bot added the stale All issues that are marked as stale due to inactivity label Oct 15, 2022
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@v-shenoy v-shenoy removed their assignment Nov 22, 2022
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stale bot commented Jan 22, 2023

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.

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stale bot commented Jan 29, 2023

This issue has been automatically closed due to inactivity.

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@tomkerkhove tomkerkhove reopened this Jan 29, 2023
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stale bot commented Mar 30, 2023

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.

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stale bot commented Apr 7, 2023

This issue has been automatically closed due to inactivity.

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@tomkerkhove tomkerkhove reopened this Apr 8, 2023
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@tomkerkhove tomkerkhove moved this from Done to To Do in Roadmap - KEDA HTTP Add-On Apr 8, 2023
@JorTurFer JorTurFer added the help wanted Extra attention is needed label Apr 4, 2024
@Leonardo-Ferreira
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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?

@tomkerkhove
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@JorTurFer Did some work in this area, not sure where we are on this?

@JorTurFer
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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

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