Software Alternatives & Reviews

Google Cloud Functions VS Google Cloud Load Balancing

Compare Google Cloud Functions VS Google Cloud Load Balancing and see what are their differences

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

Google Cloud Load Balancing logo Google Cloud Load Balancing

Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • Google Cloud Load Balancing Landing page
    Landing page //
    2023-07-29

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)

Google Cloud Load Balancing videos

No Google Cloud Load Balancing videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Google Cloud Functions and Google Cloud Load Balancing)
Cloud Computing
92 92%
8% 8
Web Servers
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Web And Application Servers

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Functions should be more popular than Google Cloud Load Balancing. It has been mentiond 41 times since March 2021. 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
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Google Cloud Load Balancing mentions (10)

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What are some alternatives?

When comparing Google Cloud Functions and Google Cloud Load Balancing, you can also consider the following products

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

nginx - A high performance free open source web server powering busiest sites on the Internet.

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.

AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.

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

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.