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I wrote a tool that helps estimate K8s costs by simulating K8s clusters. You write your pods in a simple DSL and it runs kube-scheduler without actual nodes behind the scenes.

It's still really basic but I'd love to hear your feedback!

https://github.com/aporia-ai/kubesurvival

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I think this is a great idea. I can see the DSL being very useful for situations where you want to think about hypotheticals. My main piece of feedback is that you should consider supporting the ability to feed in your existing k8s manifests as input to this tool instead in addition to the DSL. I think that would make this tool very appealing and very easy to onboard users with existing clusters who are looking to reduce their costs.

For sure, this is definitely planned!

Awesome, I'm definitely keeping an eye on this project.

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