richardsonjf / kaytu-io-kaytu

The Kaytu CLI helps you save on cloud costs by finding the perfect server sizes. Kaytu analyzes historical usage and provides tailored recommendations, ensuring you only pay for the resources you need.

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

brew tap kaytu-io/cli-tap && brew install kaytu

Linux

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

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.

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

kaytu