Google Compute Engine vs fortrabbit

Overview

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

fortrabbit

Stacks20

Followers29

Votes0

fortrabbit vs Google Compute Engine: What are the differences?

Developers describe fortrabbit as "PHP hosting done right". We have automated SysOps — so that you don't have to. Deploy with Git and Composer in a breeze, set up multi staging environments on the fly, easily manage all team aspects, scale on demand. On the other hand, Google Compute Engine is detailed 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.

fortrabbit and Google Compute Engine can be primarily classified as "Cloud Hosting" tools.

Some of the features offered by fortrabbit are:

Managed Stack
PHP
Memcached

On the other hand, Google Compute Engine provides the following key features:

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.

9GAG, Snapchat, and CircleCI are some of the popular companies that use Google Compute Engine, whereas fortrabbit is used by Agroorama Online Services P.C., Dixens, and CheckInn. Google Compute Engine has a broader approval, being mentioned in 592 company stacks & 427 developers stacks; compared to fortrabbit, which is listed in 3 company stacks and 3 developer stacks.

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Advice on Google Compute Engine, fortrabbit

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.

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Comments

Detailed Comparison

Google Compute Engine	fortrabbit
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.	We have automated SysOps — so that you don't have to. Deploy with Git and Composer in a breeze, set up multi staging environments on the fly, easily manage all team aspects, scale on demand.
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.	Managed Stack;PHP;Memcached;Mysql;Support
Statistics
Stacks 12.4K	Stacks 20
Followers 9.2K	Followers 29
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	Craft Blackfire.io Symfony Drupal PHP Laravel MySQL Memcached Git New Relic

What are some alternatives to Google Compute Engine, fortrabbit?

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.

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

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Scaleway

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Rackspace Cloud Servers

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Google Cloud Platform

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Gandi

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Joyent Cloud

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