Software Alternatives & Reviews

Google Cloud Functions VS GitHub Pages

Compare Google Cloud Functions VS GitHub Pages and see what are their differences

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

GitHub Pages logo GitHub Pages

A free, static web host for open-source projects on GitHub
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • GitHub Pages Landing page
    Landing page //
    2023-04-19

Google Cloud Functions videos

Google Cloud Functions: introduction to event-driven serverless compute on GCP

More videos:

  • Review - Building Serverless Applications with Google Cloud Functions (Next '17 Rewind)

GitHub Pages videos

Intro to GitHub Pages

More videos:

  • Review - What is GitHub Pages?
  • Tutorial - How to Setup GitHub Pages (2020) | Data Science Portfolio

Category Popularity

0-100% (relative to Google Cloud Functions and GitHub Pages)
Cloud Computing
30 30%
70% 70
Static Site Generators
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Backend As A Service
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Functions and GitHub Pages

Google Cloud Functions Reviews

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GitHub Pages Reviews

Top 10 Netlify Alternatives
Static Site Generators — It is a good way for developers to build sites on GitHub pages with the help of site generators. Yes, it has the ability to publish and release any static file. But it is recommended to proceed with Jekyll.

Social recommendations and mentions

Based on our record, GitHub Pages seems to be a lot more popular than Google Cloud Functions. While we know about 466 links to GitHub Pages, we've tracked only 41 mentions of Google Cloud Functions. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Functions mentions (41)

  • Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes
    One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 5 months ago
  • Need some advice on API key storage
    I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 7 months ago
  • Golden Ticket To Explore Google Cloud
    Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago
  • Isolate a resource intensive task (in C++) from a Django Web app and restructure a web app
    Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago
  • Need Guidance
    Once you have some basic familiarity with programming, try deploying one of your Python programs to the cloud. Start with Cloud Functions, because that doesn't require any knowledge of Linux server administration. Source: 11 months ago
View more

GitHub Pages mentions (466)

  • Yet Another Tour of an Open-Source Elm SPA
    For this application, Elm controlled the routing. So, I had to adapt the scripts to deploy to Netlify instead of GitHub Pages. Why? Because you need to be able to tell the web server to redirect all relevant requests to the application. GitHub Pages doesn't have support for it. - Source: dev.to / 12 days ago
  • How to build your interactive resume in 4 simple and 2 easy steps
    It's super easy to publish a static site like the resume with GitHub Pages. Just check out the docs. - Source: dev.to / about 1 month ago
  • 100+ FREE Resources Every Web Developer Must Try
    GitHub Pages: Host your static websites directly from your GitHub repository. - Source: dev.to / 2 months ago
  • Ask HN: Looking for lightweight personal blogging platform
    As per many other comments, it sounds like a static site generator like Hugo (https://gohugo.io/) or Jekyll (https://jekyllrb.com/), hosted on GitHub Pages (https://pages.github.com/) or GitLab Pages (https://about.gitlab.com/stages-devops-lifecycle/pages/), would be a good match. If you set up GitHub Actions or GitLab CI/CD to do the build and deploy (see e.g.... - Source: Hacker News / 3 months ago
  • Top 20 Free Static Web Hosting Services in 2024 ⚡️
    Ideal for open source projects, docs sites, and portfolios. GitHub Pages. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Google Cloud Functions and GitHub Pages, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Jekyll - Jekyll is a simple, blog aware, static site generator.

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket