Overview
Kubernetes Resource Recommender (KRR) is a powerful tool designed to optimize resource allocation in Kubernetes clusters.
Developed by Robusta, KRR analyzes pod usage data from Prometheus compatible APIs (like Dash0) to provide recommendations for CPU and memory requests and limits.
Key features of KRR include:
- No agent required: KRR operates as a CLI tool on your local machine, eliminating the need for additional pods in your cluster.
- Prometheus integration: It gathers resource usage data using built-in Prometheus queries.
- Customizable recommendations: Users can adjust the recommendation algorithm using various parameters like CPU and memory minimums, percentiles, and buffer percentages.
- Cost and performance optimization: By suggesting appropriate resource allocations, KRR helps reduce costs and improve cluster performance.
- Extensibility: The tool supports custom strategies for calculating resource recommendations and plans to include support for custom resources and metrics in future versions.
- KRR is particularly useful for DevOps teams and cluster administrators looking to fine-tune their Kubernetes deployments for optimal resource utilization and cost-efficiency.
