Google Compute Engine vs Feathery

Overview

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

Feathery

Stacks1

Followers2

Votes0

Google Compute Engine vs Feathery: What are the differences?

Developers describe Google Compute Engine as "Run large-scale workloads on virtual machines hosted on Google's infrastructure". Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance. On the other hand, Feathery is detailed as "Deploy any JavaScript SPA, with automatic SEO indexing". Deploy a JavaScript SPA, with automatic SEO indexing. No more dynamic websites with no presence on search engines. A completely crawlable prerender of your dynamic content so Google, Yahoo, Bing, Yandex and everyone else will see exactly what you want.

Google Compute Engine and Feathery belong to "Cloud Hosting" category of the tech stack.

Some of the features offered by Google Compute Engine are:

High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.
Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.
(Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.

On the other hand, Feathery provides the following key features:

Automatic deploys from Github
Automatic SEO indexing
Pull URLs from sitemap.xml

🔥 Trending in Cloud Hosting on StackShare

Ubicloud Cloud Hosting

An open, free, and portable cloud

Try it View Docs Alternatives

Try

0

3

Advice on Google Compute Engine, Feathery

Stephen

Artificial Intelligence Fellow

Feb 4, 2020

Decided

GCE is much more user friendly than EC2, though Amazon has come a very long way since the early days (pre-2010's). This can be seen in how easy it is to edit the storage attached to an instance in GCE: it's under the instance details and is edited inline. In AWS you have to click the instance > click the storage block device (new screen) > click the edit option (new modal) > resize the volume > confirm (new model) then wait a very long time. Google's is nearly instant.

In both cases, the instance much be shut down.

There also the preference between "user burden-of-security" and automatic security: AWS goes for the former, GCE the latter.

203k views203k

Comments

Detailed Comparison

Google Compute Engine	Feathery
Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.	Deploy a JavaScript SPA, with automatic SEO indexing. No more dynamic websites with no presence on search engines. A completely crawlable prerender of your dynamic content so Google, Yahoo, Bing, Yandex and everyone else will see exactly what you want.
High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.;Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.;(Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.;Load balancing- Native load-balancing technology helps you spread incoming network traffic across a pool of instances, so you can achieve maximum performance, throughput and availability at low cost.;Fast and easy provisioning- Quickly deploy large clusters of virtual machines with intuitive tools including a RESTful API, command-line interface and web-based Console. You can also use tools such as RightScale and Scalr to automatically manage your deployment.;Compliance and security- All data written to disk in Compute Engine is encrypted at rest using the AES-128-CBC algorithm. Compute Engine has completed ISO 27001, SSAE-16, SOC 1, SOC 2, and SOC 3 certifications, demonstrating our commitment to information security.	Automatic deploys from Github;Automatic SEO indexing;Pull URLs from sitemap.xml;Wait for page to fully load;Full control on indexed pages;Index preview
Statistics
Stacks 12.4K	Stacks 1
Followers 9.2K	Followers 2
Votes 423	Votes 0
Pros & Cons
Pros 87 Backed by google 79 Easy to scale 75 High-performance virtual machines 57 Performance 52 Fast and easy provisioning	No community feedback yet
Integrations
RightScale Qubole Scalr Boundary Red Hat Codeready Workspaces Kinvey New Relic Twilio SendGrid Zencoder	React AngularJS Vue.js Slack

What are some alternatives to Google Compute Engine, Feathery?

DigitalOcean

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

Amazon EC2

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

GitHub Pages

Public webpages hosted directly from your GitHub repository. Just edit, push, and your changes are live.

Microsoft Azure

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

DomainRacer

It is a blazing fast hosting solution that provides Customer Satisfaction driven Web Hosting services since 2016.

Netlify

Netlify is smart enough to process your site and make sure all assets gets optimized and served with perfect caching-headers from a cookie-less domain. We make sure your HTML is served straight from our CDN edge nodes without any round-trip to our backend servers and are the only ones to give you instant cache invalidation when you push a new deploy. Netlify is also the only static hosting service with integrated continuous deployment.

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

Vercel

A cloud platform for serverless deployment. It enables developers to host websites and web services that deploy instantly, scale automatically, and require no supervision, all with minimal configuration.