Workload Optimizer
Workload Optimizer boosts the efficiency of your cloud-hosted workload and Kubernetes Clusters by analyzing historical usage and delivering intelligent recommendations—such as optimizing instance size

Overview
Ease of use: One-line command. Use without modifying workloads or making configuration changes.
Optimize: Optimize AWS workloads (EC2 Instances, EBS Storage, RDS, Kubernetes/EKS), Azure Kubernetes, and Google Kubernetes (GKE)
Base on actual Usage: Analyzes based on actual usage from Monitoring (CloudWatch & Prometheus).
Customize: Optimize for region, CPU, memory, network performance, storage, licenses, and more to match your specific requirements.
Secure - no credentials to share; extracts required metrics from the client side
Open philosophy Use without fear of lock-in. The CLI is open-sourced, and the Server side will be open-sourced soon.
1. Install CLI
MacOS (Brew)
brew tap kaytu-io/cli-tap && brew install kaytuRun the following command:
curl -fsSL https://raw.githubusercontent.com/kaytu-io/kaytu/main/scripts/install.sh | shComing Soon: brew
coming soonRPM
coming soonDebian
coming soonYum
coming soonapt
coming soonInstall binary from https://github.com/kaytu-io/kaytu/releases
Download Windows (Linux, and MacOS) binary from releases
2. Login to kaytu CLI
Open Terminal or PowerShell Console and run the following command:
kaytu login3. Optimize
How to Optimize GKE How to Optimize GCP VMs [Coming Soon]
Feel free to reach out at [email protected] if you need assistance with documentation.