Software Alternatives, Accelerators & Startups

Metro Retro VS Google Cloud Functions

Compare Metro Retro VS Google Cloud Functions and see what are their differences

Metro Retro logo Metro Retro

For productive, engaging and fun retrospectives

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.
  • Metro Retro Landing page
    Landing page //
    2022-08-01
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25

Metro Retro videos

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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)

Category Popularity

0-100% (relative to Metro Retro and Google Cloud Functions)
Agile Project Management
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Project Retrospectives
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Functions seems to be a lot more popular than Metro Retro. While we know about 43 links to Google Cloud Functions, we've tracked only 2 mentions of Metro Retro. 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.

Metro Retro mentions (2)

Google Cloud Functions mentions (43)

  • Is Serverless Architecture Right For You?
    The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / about 1 month ago
  • A Brief History Of Serverless
    The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 2 months ago
  • 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 / 7 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: 8 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 / 11 months ago
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What are some alternatives?

When comparing Metro Retro and Google Cloud Functions, you can also consider the following products

Reetro.io - Reetro is a versatile retrospective tool for agile teams, collaborate with your team and get better in what you do with a simple, intuitive and beautiful tool

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

Retrium - Sprint retrospectives made easy and effective for distributed scrum teams.

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.

Parabol - Agile Meeting Co-Pilot

AWS Lambda - Automatic, event-driven compute service