Kruize 🚀 – Intelligent Kubernetes Resource Optimization
TL;DR: Kruize analyzes your Kubernetes workload metrics and automatically generates right-sizing recommendations for CPU, memory, and GPU resources — reducing costs and improving performance without manual tuning.
Kruize is an open-source optimization tool for Kubernetes that helps you achieve significant cost savings and optimal performance with minimal effort. It continuously monitors your applications and provides right-sizing recommendations for container and namespace resources like CPU and memory, as well as NVIDIA GPU MIG slices. Kruize serves as the powerful backend engine for the Resource Optimization Service within Red Hat Insights, a service now available to all OpenShift Container Platform (OCP) users.
How Kruize Works
Kruize connects to your monitoring stack (such as Prometheus or Thanos) and analyzes historical workload resource usage to generate actionable right-sizing recommendations. By continuously observing real usage patterns, it identifies over- and under-provisioned resources and provides right-sizing recommendations — improving performance for under-provisioned workloads and reducing costs for over-provisioned ones.
Recommendations are generated for:
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Containers – CPU and Memory requests and limits
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Namespaces – Resource quota limits for CPU and Memory
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NVIDIA GPUs – Optimal MIG slice configurations for supported accelerators (e.g., A100, H100)
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Application Runtimes & Frameworks (Alpha) – Optimized configurations for JVMs (e.g., Hotspot, Semeru) and frameworks (e.g., Quarkus).
Kruize supports both predefined terms (short, medium, long) and custom terms, allowing recommendations to align with your desired observation window. You can also choose between performance-optimized or cost-optimized profiles based on your workload priorities.