Google Compute Engine vs Socket.IO

Overview

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

Socket.IO

Stacks13.6K

Followers11.0K

Votes776

Google Compute Engine vs Socket.IO: What are the differences?

Key differences between Google Compute Engine and Socket.IO

1. Scalability:

Google Compute Engine provides the ability to scale up or down resources based on demand, allowing users to easily handle fluctuations in traffic and workload. Socket.IO, on the other hand, is a JavaScript library that enables real-time communication between clients and servers, but it does not directly provide scalability features.

2. Purpose:

Google Compute Engine is a Infrastructure as a Service (IaaS) platform that allows users to create and manage virtual machines in the cloud. It is primarily designed for running applications and hosting services. On the other hand, Socket.IO is a library mainly used for building real-time web applications that require bi-directional communication between clients and servers.

3. Flexibility:

Google Compute Engine offers a wide range of virtual machine configurations and operating system choices, providing users with flexibility in customizing their computing environment. Whereas, Socket.IO is focused on providing real-time communication capabilities and does not provide as much flexibility in terms of infrastructure setup and customization.

4. Real-time communication:

Socket.IO is specifically built to facilitate real-time communication between clients and servers, making it well-suited for applications that require instant updates and notifications. Google Compute Engine, on the other hand, provides more general computing capabilities and does not have built-in real-time communication features.

5. Managed services:

Google Compute Engine offers a range of managed services, such as managed databases and Kubernetes Engine, which simplify the deployment and management of applications. Socket.IO does not provide comparable managed services and requires users to handle the server-side infrastructure themselves.

6. Integration with other Google Cloud services:

Google Compute Engine seamlessly integrates with other Google Cloud services, allowing users to leverage services like Google Cloud Storage and BigQuery. Socket.IO, being a standalone JavaScript library, does not have direct integration with Google Cloud services.

In summary, Google Compute Engine is a scalable infrastructure platform for running applications and hosting services, offering flexibility, managed services, and integration with other Google Cloud services. Socket.IO, on the other hand, is a JavaScript library focused on facilitating real-time communication for web applications, but lacks the infrastructure capabilities and managed services of Google Compute Engine.

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Advice on Google Compute Engine, Socket.IO

Noam

Jul 16, 2020

Needs adviceon

Node.js

ExpressJS

React

We are starting to work on a web-based platform aiming to connect artists (clients) and professional freelancers (service providers). In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are essential core features. We are considering using Node.js, ExpressJS, React, MongoDB stack with Socket.IO & Apollo, or maybe using Real-Time Database and functionalities of Firebase.

1.15M views1.15M

Comments

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

Anil

Mar 7, 2020

Needs advice

I want to add uWebSockets.js in my application for real-time chatting, for that, I have to draw a UML and ufd diagram flow then I have to implement it in my code, my stack is node js, android, express, MongoDB, Redis. how can I do this? I want to add uWebSockets.js in my application for real-time chatting, for that, I have to draw a UML and ufd diagram flow then I have to implement it in my code, my stack is node js, android, express, MongoDB, Redis. how can I do this?I want to add uWebSockets.js in my application for real-time chatting, for that, I have to draw a UML and ufd diagram flow then I have to implement it in my code, my stack is node js, android, express, MongoDB, Redis. how can I do this?i want to add uWebSockets.js in my application for real time chatting, for that i have to draw a uml and ufd diagram flow then i have to implement it in my code , my stack is node js , android , express , mongoDb, redis . how can i do a this?

46.7k views46.7k

Comments

Detailed Comparison

Google Compute Engine	Socket.IO
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.	It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.
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.	Real-time analytics - Push data to clients that gets represented as real-time counters, charts or logs.;Binary streaming - Starting in 1.0, it's possible to send any blob back and forth: image, audio, video.;Instant messaging and chat - Socket.IO's "Hello world" is a chat app in just a few lines of code.;Document collaboration - Allow users to concurrently edit a document and see each other's changes.
Statistics
Stacks 12.4K	Stacks 13.6K
Followers 9.2K	Followers 11.0K
Votes 423	Votes 776
Pros & Cons
Pros 87 Backed by google 79 Easy to scale 75 High-performance virtual machines 57 Performance 52 Fast and easy provisioning	Pros 219 Real-time 143 Node.js 141 Event-based communication 102 WebSockets 102 Open source Cons 12 Bad documentation 4 Githubs that complement it are mostly deprecated 3 Doesn't work on React Native 2 Small community 2 Websocket Errors
Integrations
RightScale Qubole Scalr Boundary Red Hat Codeready Workspaces Kinvey New Relic Twilio SendGrid Zencoder	Auth0 Gatsby Flutter React Backbone.js Cloud Firestore Outbrain

What are some alternatives to Google Compute Engine, Socket.IO?

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.

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

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.

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

Scaleway

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

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.

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.

Related Comparisons

Google Compute Engine vs Socket.IO

Overview

Google Compute Engine vs Socket.IO: What are the differences?

Key differences between Google Compute Engine and Socket.IO

1. Scalability:

2. Purpose:

3. Flexibility:

4. Real-time communication:

5. Managed services: