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Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for **optimizing resource allocation** in Kubernetes clusters. It gathers pod usage data from Prometheus and **recommends requests and limits** for CPU and memory. This **reduces costs and improves performance**.
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### **New:** Use HolmesGPT to generate fixes for KRR recommendations
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<palign="center">
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<imgsrc="./images/krr-create-pr.png"alt="Create PR with AI-generated fix for KRR recommendation"width="450">
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</p>
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### Auto-Apply Mode
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Put right-sizing on auto-pilot by applying recommendations automatically. See the [KRR Enforcer docs](https://github.com/robusta-dev/krr/tree/main/enforcer).
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-**Explainability**: [Understand how recommendations were calculated with explanation graphs](#free-krr-ui-on-robusta-saas)
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-**Extensible Strategies**: Easily create and use your own strategies for calculating resource recommendations.
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-**Free SaaS Platform**: See why KRR recommends what it does, by using the [free Robusta SaaS platform](https://platform.robusta.dev/signup/?benefits=krr&utm_source=github&utm_medium=krr-readme&utm_content=features-free-saas-platform).
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-**AI-Powered Fixes**: [Generate fixes for KRR recommendations using HolmesGPT](#free-krr-ui-on-robusta-saas) on the free Robusta SaaS platform
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-**Future Support**: Upcoming versions will support custom resources (e.g. GPUs) and custom metrics.
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### How Much Can I Expect to Save with KRR?
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- Give devs a YAML snippet to fix the problems KRR finds
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- Automatically generate fixes for KRR recommendations using AI and HolmesGPT
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<imgsrc="./images/krr-create-pr.png"alt="Create PR with AI-generated fix for KRR recommendation"width="450">
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