KRR is an open-source tool for analyzing Kubernetes resource requests and recommendations. It evaluates how pods are currently configured and provides suggestions for optimizing CPU and memory allocations based on actual usage patterns.
The project focuses on helping teams right-size their Kubernetes workloads by identifying over-provisioned and under-provisioned resources. It scans clusters and generates reports that highlight where adjustments can reduce costs or improve performance without compromising reliability.
KRR is distributed as a Python command-line tool that can be run directly against a Kubernetes cluster. Its documentation covers installation, configuration, and interpretation of the generated recommendations.