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Proof of concept, using Sysdig metrics as the decision variable for a Kubernetes scheduler
This is not an issue, but rather a follow-up question for https://sysdig.com/blog/kubernetes-scheduler/, which referred to this repo.
Could you please clarify the following bullet point in Further Thoughts
section:
If your code returns an error or is taking too long, you can always code a fallback to the default Kubernetes scheduler, much better than having orphaned pending pods.
Do you have an example or rough outline how would such fallback
be accomplished?
It turns out that I need that specific functionality, but I cannot find a way to fallback
or to call
a default scheduler. The only option that could work is to create a hard clone
of the default scheduler and add my functionality on top it, which I am trying to avoid for various reasons.
Thank you in advance for your answers.
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