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https://github.com/kaytu-io/kaytu
The Kaytu CLI improves the efficiency of cloud workloads by analyzing historical usage and providing tailored recommendations, such as changing instance sizes. This ensures you only pay for the resources you actually need without compromising stability.
https://github.com/kaytu-io/kaytu
cloud-optimization cloud-spend rightsizing sre workload-optimization
Last synced: 3 months ago
JSON representation
The Kaytu CLI improves the efficiency of cloud workloads by analyzing historical usage and providing tailored recommendations, such as changing instance sizes. This ensures you only pay for the resources you actually need without compromising stability.
- Host: GitHub
- URL: https://github.com/kaytu-io/kaytu
- Owner: kaytu-io
- License: other
- Created: 2024-04-24T18:16:41.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-05-29T01:13:28.000Z (9 months ago)
- Last Synced: 2024-05-29T01:19:16.588Z (9 months ago)
- Topics: cloud-optimization, cloud-spend, rightsizing, sre, workload-optimization
- Language: Go
- Homepage: https://kaytu.io
- Size: 4.03 MB
- Stars: 574
- Watchers: 5
- Forks: 9
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
Awesome Lists containing this project
- awesome-github-repos - 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, (Go)
README
Kaytu's AI platform boosts the efficiency of your cloud-hosted workload and Kubernetes Clusters by analyzing historical usage and delivering intelligent recommendations—such as optimizing instance sizes—that maintain reliability.
## 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.
- **Coming Soon**: GPU Optimization, Amazon EFS
#### To optimize Kubernetes Clusters [click here for a walk through](https://docs.kaytu.io/oss/quick-start/optimize-kubernetes-clusters)
## Quick Start - Optimize AWS EC2, RBS, and RDS Workload
### 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 such as AWS resource identifiers, credentials, IPs, tags, etc.
### 3. Run Kaytu CLI
Login to your free account:
```shell
kaytu login
```
To see how you can optimize EC2 Instances, run this command:
```shell
kaytu optimize ec2-instance
```
For RDS:
```shell
kaytu optimize rds-instance
```