How does Claude determine if a VM is oversized?

Claude can use SSH commands to check actual memory usage inside your container, recommending a downgrade if you are consistently using less than 50% of allocated RAM.

How does this skill help reduce my Fly.io bill?

It identifies idle machines to implement auto-stop or suspend behaviors, audits for unused volumes, and helps you downgrade oversized VMs to cheaper tiers.

Is it safe to use this skill on production apps?

Yes, the skill includes settings for 'min_machines_running' to ensure high availability for production while still optimizing secondary instances.

What is the difference between 'stop' and 'suspend' strategies?

'Stop' is the cheapest option but has a ~5s cold start, while 'suspend' costs approximately $0.50/month but allows for near-instant 100ms resumption.

Does this skill require specific permissions?

The skill requires access to the Fly CLI (Bash) to list resources, check billing data, and apply configuration changes to your fly.toml files.

Fly.io Cost Optimizer

Name: Fly.io Cost Optimizer
Author: jeremylongshore

byjeremylongshore

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2,024

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Infraestructura en la Nube

Optimizes your Fly.io infrastructure costs by automating machine lifecycles and right-sizing resources based on actual usage.

The Fly.io Cost Tuning skill empowers Claude to actively manage and reduce your cloud expenses through intelligent infrastructure adjustments. It provides automated strategies for implementing auto-stop and suspend behaviors for idle machines, identifies oversized VMs for down-scaling, and audits your environment for orphaned volumes or unused applications. By integrating directly with the Fly CLI, it helps developers maintain high-performance edge compute environments while ensuring they only pay for the resources they actually use.

Características Principales

01Automated machine auto-stop and suspend configuration

02Organization-level and per-app billing monitoring

03VM right-sizing based on real-time memory usage audits

042,024 GitHub stars

05Cleanup of orphaned volumes and unused applications

06Implementation of scale-to-zero for low-traffic services

Casos de Uso

01Reducing monthly spend for development and staging environments

02Auditing cloud resource sprawl to eliminate zombie machines and volumes

03Optimizing production cold-start times versus cost using suspend states

Características Principales

01Automated machine auto-stop and suspend configuration

02Organization-level and per-app billing monitoring

03VM right-sizing based on real-time memory usage audits

042,024 GitHub stars

05Cleanup of orphaned volumes and unused applications

06Implementation of scale-to-zero for low-traffic services

Casos de Uso

01Reducing monthly spend for development and staging environments

02Auditing cloud resource sprawl to eliminate zombie machines and volumes

03Optimizing production cold-start times versus cost using suspend states