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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Load Balancer Reverse Proxy
  5. Fly vs Google Cloud Load Balancing

Fly vs Google Cloud Load Balancing

OverviewComparisonAlternatives

Overview

Fly
Fly
Stacks89
Followers47
Votes14
Google Cloud Load Balancing
Google Cloud Load Balancing
Stacks50
Followers45
Votes0

Fly vs Google Cloud Load Balancing: What are the differences?

## Key Differences between Fly and Google Cloud Load Balancing

**1. Integrated CDN:**
Fly provides integrated content delivery network (CDN) capabilities, allowing for accelerated content delivery globally, while Google Cloud Load Balancing does not offer built-in CDN services.

**2. Routing Flexibility:**
Fly enables users to define routing rules based on multiple criteria such as geolocation, time of day, client device type, etc., providing more flexibility compared to Google Cloud Load Balancing, which primarily relies on standard load balancing algorithms.

**3. Application Layer Load Balancing:**
Fly supports application-layer load balancing, which allows for more granular control and optimization of traffic based on specific application requirements and performance metrics. In contrast, Google Cloud Load Balancing focuses more on network and transport layer load balancing.

**4. Global Anycast Network:**
Fly's global anycast network allows users to deploy applications closer to end-users, minimizing latency and providing a more consistent user experience across different regions. Google Cloud Load Balancing may not offer the same level of global reach and proximity to end-users.

**5. Self-hosted Edge Runtimes:**
Fly enables users to deploy edge runtimes closer to the end-users, offering capabilities such as serverless functions, data caching, and edge computing. This feature provides users with more control and customization options compared to Google Cloud Load Balancing's more centralized approach.

**6. Pricing Model:**
Fly offers a pay-as-you-go pricing model, where users pay for actual usage, while Google Cloud Load Balancing follows a tiered pricing structure based on the level of service and resources consumed, which may result in different cost implications for users.

In Summary, Fly and Google Cloud Load Balancing differ in terms of integrated CDN, routing flexibility, application layer load balancing, global anycast network, self-hosted edge runtimes, and pricing models.

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Detailed Comparison

Fly
Fly
Google Cloud Load Balancing
Google Cloud Load Balancing

Deploy apps through our global load balancer with minimal shenanigans. All Fly-enabled applications get free SSL certificates, accept traffic through our global network of datacenters, and encrypt all traffic from visitors through to application servers.

You can scale your applications on Google Compute Engine from zero to full-throttle with it, with no pre-warming needed. You can distribute your load-balanced compute resources in single or multiple regions, close to your users and to meet your high availability requirements.

Purpose-built cloud; CPU, memory, and storage on tap; Batteries Included Networking; Metrics and alerting
Autoscaling; No pre-warming needed
Statistics
Stacks
89
Stacks
50
Followers
47
Followers
45
Votes
14
Votes
0
Pros & Cons
Pros
  • 2
    Service Worker
  • 2
    Load balancer
  • 2
    Edge
  • 2
    API Gateway
  • 2
    Extremely versatile
No community feedback yet
Integrations
Django
Django
PostgreSQL
PostgreSQL
Redwood
Redwood
Remix
Remix
Phoenix Framework
Phoenix Framework
Crystal
Crystal
Rails
Rails
Rust
Rust
Golang
Golang
Docker
Docker
Kubernetes
Kubernetes
Google Cloud Platform
Google Cloud Platform

What are some alternatives to Fly, Google Cloud Load Balancing?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

HAProxy

HAProxy

HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Traefik

Traefik

A modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components and configures itself automatically and dynamically.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

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