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Google Cloud Platform

A suite of cloud computing services

What is Google Cloud Platform?

It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
Google Cloud Platform is a tool in the Cloud Hosting category of a tech stack.

Who uses Google Cloud Platform?

Companies
8688 companies reportedly use Google Cloud Platform in their tech stacks, including CRED, Snapchat, and Revolut.

Developers
12570 developers on StackShare have stated that they use Google Cloud Platform.

Google Cloud Platform Integrations

Google App Engine, Contentful, Dapr, Airbyte, and CanvasJS are some of the popular tools that integrate with Google Cloud Platform. Here's a list of all 65 tools that integrate with Google Cloud Platform.
Pros of Google Cloud Platform
4
Good app Marketplace for Beginner and Advanced User
3
1 year free trial credit USD300
2
Live chat support
2
Cheap
2
Premium tier IP address
Decisions about Google Cloud Platform

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Platform in their tech stack.

Azzam Qazi

Hi

We have 2 web applications running on PHP and Laravel and backend MySQL. Currently, each server is running on a dedicated server. We want to switch to a cloud infrastructure. Looking into either Google Cloud Platform or Amazon AWS.

Which one is better? Google cloud comes out to be a couple of hundred dollars cheaper than AWS.

Need advice on which one we should go with?

Thanks

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I am currently working on a long term mobile app project. Current stack: Frontend: Dart/Flutter Backend: Go, AWS Resources (AWS Lambda, Amazon DynamoDB, etc.) Since there are only two developers and we have limited time and resources, we are looking for a BAAS like Firebase or AWS Amplify to handle auth and push notifications for now. We are prioritizing developing speed so we can iterate quickly. The only problem is that AWS amplify support for flutter is in developer preview and has limited capabilities (We have tested it out in our app). Firebase is the more mature option. It has great support for flutter and has more than we need for auth, notifications, etc. My question is that, if we choose firebase, we would be stuck with using two different cloud providers. Is this bad, or is this even a problem? I am willing to change anything on the backend architecture wise, so any suggestions would be greatly appreciated as I am somewhat unfamiliar with Google Cloud Platform. Thank you.

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Hello Everyone, My motive is to build an MLOps pipeline that is 100% independent from Cloud services like AWS, Google Cloud Platform, and Microsoft Azure. I have a project for a client in a production factory and would like to build a Camera based Object Tracking ML service for them. I want to build this pipeline in my own server or (on-premise computer). I am really confused about what stacks I should use. I keep ending up with a Cloud component based solution. It would be great to get some advice on what are the components that I can use and preferably open source.

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I am new to the cloud platforms. I am trying to figure out which Google Cloud product would be the best fit for my needs. Here are the requirements I am trying to meet:

  1. Store data in Google Cloud Platform.
  2. Support potentially thousands of concurrent users running analytical queries.
  3. The data volumes would be moderate (as far as Google is concerned) - we are talking 10's of GB up to potentially 100s of GB.
  4. The data needs to be updated once a day (but ideally a few times a day).
  5. Perhaps my biggest goal is the following: I am trying to avoid having to build a traditional data warehouse with star-schema and ETL process. I have experience with these projects, and they end up being very costly, error-prone, hard to troubleshoot, and rigid (hard to deploy changes). Instead, I am hoping to just copy my OLTP tables to GCP and query them from there, relying on GCP horsepower. I appreciate any feedback.
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Jenil Calcuttawala
Software Engineer at Servian · | 5 upvotes · 5.2K views

Hello folks, we are making a company internal google chatbot system hosted on Google Cloud Platform. The backend is being written in ExpressJS + TypeScript, we are planning to use Cloud SQL to store basic entities like Users, Spaces, Connections(use-case specific).

The question I have is which tool is recommended for this basic use case where we want to query some data and perform CRUD operations. Also, how we should be handling the DB version control & migrations?

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Fernando Barcenas
Backend Developer at Ficachi y Asociados S.C. · | 4 upvotes · 4.5K views

Good day, everyone!

We recently got the request to add a feature to our systems: Forms should be saved to be continued later given the following cases:

If the connection to the server is lost, if the user closes their browser, if the user changes networks, if the user didn't finish the form and decides to take a week off and a mix of them all.

One of the best solutions we've thought so far is to save the data in the forms in a remote database every so minutes directly from the client.

A document-oriented database seems the best bet, but which database to use is the question. Since we already use Google Cloud Platform, Cloud Firestore is a "safe" option right now, but we are looking at every option we can find. The "caveat" of our use case is that we need more writes than reads, but writes are usually more expensive, and our biggest constraint is budget.

That's why I am seeking advice. What other options do we have?

In case you're wondering, we seek to save the forms bypassing the backend and our own system resources entirely, so a dedicated, remote database or Local Storage are our best options, but Local Storage is a bit controversial choice within the team, so we will explore that options later on.

Any advice or experience in this matter is highly appreciated!

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Blog Posts

Sep 29 2020 at 7:36PM

WorkOS

PythonSlackG Suite+17
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Jobs that mention Google Cloud Platform as a desired skillset

CBRE
United States of America Texas Richardson
CBRE
United States of America California Sunnyvale
CBRE
United States of America Texas Richardson
CBRE
United States of America California Sunnyvale
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Google Cloud Platform's Features

  • Scales automatically
  • No server management

Google Cloud Platform Alternatives & Comparisons

What are some alternatives to Google Cloud Platform?
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.
GoDaddy
Go Daddy makes registering Domain Names fast, simple, and affordable. It is a trusted domain registrar that empowers people with creative ideas to succeed online.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
Amazon Web Services
It provides on-demand cloud computing platforms to individuals, companies and governments. It offers reliable, scalable, and inexpensive cloud computing services.
Google Compute Engine
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.
See all alternatives

Google Cloud Platform's Followers
10398 developers follow Google Cloud Platform to keep up with related blogs and decisions.