kaytu-io / kaytu

Kaytu's AI platform boosts cloud efficiency by analyzing historical usage and delivering intelligent recommendations—such as optimizing instance sizes—that maintain reliability. Pay for what you need, without compromising your apps.

Kaytu recommends optimal workload configurations based on actual-usage. Cut costs without compromising reliability.

Overview

• Ease of use: One-line command. Use without modifying workloads or making configuration changes.
• Optimize: Optimize AWS EC2 Instances & AWS RDS Instances/Clusters.
• Base on actual Usage: Analyzes the past seven days of usage from Cloud native monitoring (CloudWatch).
• 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.
• Coming Soon: Non-Interactive mode, GCP, Azure, GPU Optimization 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

This will run and install any plugins.

To see how you can optimize EC2 Instances, run this command:

kaytu optimize ec2-instance

Some optimizations such as RDS require login:

kaytu login

For RDS:

kaytu optimize rds-instance