Fly.io vs Google Cloud Run

Struggling to choose between Fly.io and Google Cloud Run? Both products offer unique advantages, making it a tough decision.

Fly.io is a Development solution with tags like cloud, hosting, deployment, scaling, infrastructure.

It boasts features such as Global deployment, Auto scaling, Built-in caching, Zero downtime deploys, Free SSL certificates, Simple pricing and pros including Fast and easy deployment, Automatic scaling, Reliable infrastructure, Low latency, Free SSL certificates, Simple, predictable pricing.

On the other hand, Google Cloud Run is a Ai Tools & Services product tagged with serverless, containers, autoscaling, infrastructure-management.

Its standout features include Serverless container execution, Automatic scaling, Pay-per-request pricing, Quick deployment from Docker containers, Integration with other GCP services, Built-in HTTPS load balancing, Traffic splitting between revisions, Open source ecosystem, and it shines with pros like No server management, Scales automatically, Pay only for what you use, Fast deployments, Leverages other GCP services, HTTPS by default, Canary deployments, Portable between environments.

Feature	Fly.io	Google Cloud Run
Overall Score	1	N/A
Primary Category	Development	Ai Tools & Services

Product Overview

Fly.io

Description: Fly.io is a platform for deploying and scaling web applications globally. It handles infrastructure, dependencies, and routing automatically, allowing developers to focus on building applications rather than managing servers.

Google Cloud Run

Description: Google Cloud Run is a serverless platform that enables developers to deploy stateless containers quickly and easily. It abstracts away infrastructure management, autoscales, and bills only for resources used.

Key Features Comparison

Fly.io Features

• Global deployment
• Auto scaling
• Built-in caching
• Zero downtime deploys
• Free SSL certificates
• Simple pricing

Google Cloud Run Features

• Serverless container execution
• Automatic scaling
• Pay-per-request pricing
• Quick deployment from Docker containers
• Integration with other GCP services
• Built-in HTTPS load balancing
• Traffic splitting between revisions
• Open source ecosystem

Pros & Cons Analysis

Fly.io

Pros

• Fast and easy deployment
• Automatic scaling
• Reliable infrastructure
• Low latency
• Free SSL certificates
• Simple, predictable pricing

Cons

• Limited customization options
• Can be more expensive for low traffic sites
• Not ideal for complex applications
• Still relatively new platform

Google Cloud Run

Pros

• No server management
• Scales automatically
• Pay only for what you use
• Fast deployments
• Leverages other GCP services
• HTTPS by default
• Canary deployments
• Portable between environments

Cons

• Stateless only
• Cold starts can cause latency
• Vendor lock-in on GCP
• Limit of 2 vCPU per container
• No custom domains
• Not ideal for long running processes

Pricing Comparison

Fly.io

• Pay-As-You-Go

Google Cloud Run

• Pay-As-You-Go