Inspiration
I wanted to make this because I'm currently learning about k8s cost optimization
What it does
It does real k8s cost analysis It tells you quantified savings ( saved $15/month from one service) Chat-based cost optimization
How I built it
Built it using Lang Chain, k8s python client, streamlit Used GitHub Copilot for various tasks
Challenges I ran into
I didn't get the GCP credit even though I applied for it, so I couldn't deploy and test it properly.
Accomplishments that I'm proud of
Able to create a working offline demo even though I faced issue in the last moment.
What I learned
By making this project I get to know the stuff really go on in managing the k8s cost
What's next for KubeGuardian
I will iterate over this project and try to make it more better
Built With
- docker
- gemini
- kubernetes
- langchain
- streamlit
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