Kaytu enables engineering, DevOps, and SRE teams to reduce cloud costs by recommending optimal workload configurations based on actual-usage, ensuring savings without compromise.

 ## Overview - **Ease of use**: One-line command. Use without modifying workloads or making configuration changes. - **Base on actual Usage**: Analyzes the past seven days of usage from Cloud native monitoring (CloudWatch), including advanced AWS CloudWatch metrics (where available). - **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-core philosophy** Use without fear of lock-in. The CLI is open-sourced, and the Server side will be open-sourced soon. - **Coming Soon**: Non-Interactive mode, Azure support, GPU Optimization, Credit utilization for Burst instances, and Observability data from Prometheus ## Getting Started ### 1. Install Kaytu CLI **MacOS** ```shell brew tap kaytu-io/cli-tap && brew install kaytu ``` **Linux** ```shell curl -fsSL https://raw.githubusercontent.com/kaytu-io/kaytu/main/scripts/install.sh | sh ``` **Windows (and all Binaries)** Download Windows (Linux, and MacOS) binary from [releases](https://github.com/kaytu-io/kaytu/releases) ### 2. Login to AWS CLI Kaytu works with your existing AWS CLI profile (read-only access required) to gather metrics. To confirm your AWS CLI login is working correctly: ``` aws sts get-caller-identity ``` [Click here to see how to log in to AWS CLI.](https://docs.aws.amazon.com/signin/latest/userguide/command-line-sign-in.html) We respect your privacy. Our open-source code guarantees that we never collect sensitive information like AWS credentials, IPs, tags, etc. ### 3. Run Kaytu CLI ```shell kaytu ```