Fly.io vs. Google Cloud

As AI technology advances, choosing the right platform is crucial for your team's speed, governance, and long-term success. Both Fly.io and Google Cloud have their strengths. The sections below compare them across developer experience, scalability, and total cost of ownership.

As AI technologies evolve, delivering and scaling applications has become essential for powering modern businesses, from AI startups to large-scale enterprises. There are various solutions available, including comprehensive cloud operating systems, managed Platform-as-a-Service (PaaS), and traditional IaaS. Selecting the right platform is crucial for your team's velocity, governance, and long-term success.

Fly.io and Google Cloud both bring unique strengths to application delivery, each with its own capabilities and limitations. The best choice depends on your specific use case and requirements. In the following sections, we'll compare both platforms regarding developer experience, scalability, and total cost of ownership, helping you determine the most suitable option for your needs—even if it's not us.

Fly.io vs. Google Cloud at a Glance

Feature	Fly.io	Google Cloud
Infrastructure	Edge micro-VMs (Firecracker)	Google-managed PaaS
Source Available
Deployment Options	Cloud only	GCP cloud only
Free Trial	Free allowance (shared CPU, limited)	GCP free tier (limited)
Max vCPU per Service	Plan-based (per VM size)	Plan-based (instance class)
Max RAM per Service	Plan-based (per VM size)	Plan-based (instance class)
Custom Domains
Replicas per Service	(within org limits)	Plan-based (autoscale)
Cron Jobs	Scheduled machines	Cloud Scheduler
Log Retention	Limited (plan-based)	Configurable (Cloud Logging)
Scale-to-Zero	(saves on idle)	Standard env only
App Marketplace

Cost evidence

Monthly Cost Examples: Plans vs. Usage Billing

Estimates use the listed average CPU and RAM for a 30-day month. Storage and egress are excluded unless a platform note says otherwise.

Workload examplePlatform and monthly costEstimated difference

Small API

2 vCPU, 4GB RAM, 24/7

Fly.ioEstimate

~$85/mo

Google CloudEstimate

~$90/mo

Fly.io 72% lower

Medium App

8 vCPU, 16GB RAM, 24/7

Fly.ioEstimate

~$300/mo

Google CloudEstimate

~$320/mo

Fly.io 60% lower

Production Stack

16 vCPU, 32GB RAM, 24/7

Fly.ioEstimate

~$600/mo

Google CloudEstimate

~$600/mo

Fly.io 15% lower

Small API

2 vCPU, 4GB RAM, 24/7

Fly.ioEstimate

~$85/mo

Google CloudEstimate

~$90/mo

Fly.io 72% lower

Medium App

8 vCPU, 16GB RAM, 24/7

Fly.ioEstimate

~$300/mo

Google CloudEstimate

~$320/mo

Fly.io 60% lower

Production Stack

16 vCPU, 32GB RAM, 24/7

Fly.ioEstimate

~$600/mo

Google CloudEstimate

~$600/mo

Fly.io 15% lower

Fly.io calculation: estimated using always-on VM pricing (CPU + RAM) across 720 hours/month

GCP calculation: App Engine instance class + logging over 720 hours/month

Sources:Fly.io Pricing·Google App Engine Pricing

Fly.io Overview

Fly.io is an edge application platform that runs apps as lightweight Firecracker micro-VMs across a global network. It emphasizes Dockerfile-first deployments and a powerful CLI (`flyctl`) for fast, scriptable workflows. Fly.io provides Anycast networking, global routing, per-region scaling, and scale-to-zero for idle workloads, making it a strong fit for latency-sensitive apps and globally distributed teams.

Google Cloud Overview

Google App Engine is Google Cloud managed PaaS for deploying web apps and APIs with minimal infrastructure management. It supports multiple runtimes, integrates with GCP services, and provides automatic scaling within region. App Engine is well-suited for teams that want a managed runtime inside Google Cloud without operating Kubernetes.