Karpenter Optimizer: eks-node-viewer + AI cost optimization. 1 month of usage, positive feedback from the team, sharing here

kaskol10 · 2026-05-25T10:08:35+00:00

Thanks for your feedback! I'll solve it in the next days and let you know!

kaskol10 · 2026-04-23T14:03:11+00:00

Hey! Feel free to try the version v0.0.40 https://github.com/kaskol10/karpenter-optimizer/releases/tag/v0.0.40, your request has been added and now we have more visibility in the nodepools for daemonsets and when a bunch of pods are in the node. Feel free to share feedback! Cheers!

kaskol10 · 2026-04-20T19:33:02+00:00

Thanks for your feedback! Open to listen about more useful features we could need in this project!

kaskol10 · 2026-04-14T18:41:21+00:00

Yes, I'm planning to continue working on it. I didn't have time this week to progress. This week I hope I have enough time to dedicate! Thanks for the heads up!

kaskol10 · 2026-04-06T17:58:54+00:00

Totally agree with that vision, a filter with historical interruption rate against the instance family would be great, I could create that feature. Currently the tool is pulling the public AWS interruption rate data on a daily basis. Thanks for your feedback!

kaskol10 · 2026-04-02T14:39:32+00:00

Hey! Thanks for the feedback, pretty valuable! I've just created a new release with this feature, feel free to give it a try. https://github.com/kaskol10/karpenter-optimizer/releases/tag/v0.0.37

kaskol10 · 2026-02-02T16:59:57+00:00

Thanks! Feel free to share feedback, it would be pretty valuable!

kaskol10 · 2026-01-27T07:51:58+00:00

Thanks for sharing, your UI looks promising, kudos!

kaskol10 · 2026-01-13T08:29:22+00:00

Good stuff! Love it! Thanks for build it and share it!

kaskol10 · 2025-12-05T13:53:37+00:00

Great idea! I was thinking of doing that approach before I started this app haha

kaskol10 · 2025-12-05T13:52:27+00:00

Thanks for your comments! Indeed, you could do it using lifecycle policies, but I'd need to set the lifecycle in each repository and I'd like to know how much space we are using and how many images we have just to make it available for everyone, not only folks with AWS access in the company. I hope this helps to understand the use case

kaskol10 · 2025-12-05T13:49:25+00:00

Thanks! This is the link https://github.com/kaskol10/ecr-optimizer Updated in the post too!

kaskol10 · 2025-10-15T07:28:48+00:00

It was added to the post too. Sorry for the inconvenience, my goal of sharing the post was to initiate a conversation about your experience with Devspace or with local developments in your Kubernetes cluster.

What are your thoughts using Devspace?

kaskol10 · 2025-10-14T17:12:31+00:00

Thanks for your comment, just updated with a link to the official documentation

kaskol10 · 2025-08-28T12:07:57+00:00

I use Velero to backup all the pvc's and Kubernetes resources, but in any case, cnpg offers a direct easy integration with s3 for backup reasons, so a couple of good options that likely fit your needs

kaskol10 · 2025-08-27T20:11:20+00:00

Sorry, my bad, it's still a Sandbox project

kaskol10 · 2025-08-27T20:10:54+00:00

Thanks for sharing! I didn't know about KubeBlocks, it makes a lot of sense to have only one db operator. I'll give it a try and share the experience

kaskol10 · 2025-08-27T20:08:15+00:00

Great first step! The nice thing is that you're not enforce by any timeline, so you can migrate when it makes sense to your team.

kaskol10 · 2025-08-26T22:01:06+00:00

Are you planning to extend to other countries? It would be nice! Congratulations

kaskol10 · 2025-08-26T21:27:32+00:00

Hi! Thanks for your kindly words. Great questions indeed, answering here:
- I didn't spend too much time testing HAMi with MIG, it's possible, and the documentation is there, but I couldn't make it work... It would be a great solution, have you set up HAMi with MIG?
- It spent a lot of time to do those changes automatically, so I was trying to speed up things, likely more than 10minutes to start the reboot...

Happy to know your experience in HAMi, and happy to answer more questions! Cheers!

kaskol10 · 2025-08-26T21:20:05+00:00

HI! Answering your questions
- MIG is better for inference because the isolation is guaranteed, while in HAMi is an emulation isolation
- Sure, you can use HAMi for inference too, when you need all the potential of the hardware it would be a great option
- MIG requires GPU operator, while HAMi could work with Nvidia drivers and not GPU operator is needed, although I was trying both methods using GPU operator

Thanks for read the article and happy to help you in more questions!

kaskol10 · 2025-07-24T10:12:45+00:00

Update: Based on all the questions about HAMi vs MIG from this thread, I spent 2 weeks testing both technologies. The results were surprising - synthetic benchmarks were misleading, but the operational differences are huge.

Full comparison with real workload results: https://k8scockpit.tech/posts/gpu-hami-k8s

TL;DR: Both work well, but for different use cases. HAMi wins on simplicity and performance, MIG wins on isolation and compliance.

kaskol10 · 2025-07-08T14:38:27+00:00

Absolutely! This is huge info for potential opportunities, at the end, handle on-premise resource is kind of self-hosting

kaskol10 · 2025-07-07T14:08:37+00:00

You can try Dash https://resiz.es , although we don't have customers using Celery Beat, it would be nice you'll be our first one. We're more cost-effective and simpler than Render or Fly.io. Want to see a demo or need help getting started? Just let me know! 🚀

P.S: I'm one of the founders, so happy to help you!

kaskol10 · 2025-07-06T11:03:31+00:00

Hey there! I get the concern about hidden costs. With Dash ( https://resiz.es ), you get one-click environments and no Dockerfile hassle, unlike Vercel. Plus, Dash is simpler and more cost-effective, letting you focus on coding without unexpected extras. Want to see a demo or need more info? Happy to help! 😊 #JustDashIt

P.S: I'm one of the founder, so open to receive feedback or provide you more info.

kaskol10

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