Free Google Cloud

Gonzalo Galante
3 min readJan 4, 2023

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Use a large part of GCP for free and set up servers, functions, databases and microservices

Google Cloud Platform

If you want to be able to upload databases to the cloud for free, set up servers, microservices with Docker in Python, Javascript among other languages, even set up simple functions that are available 24/7, in this article you will find how.

What do we have for free?

Google Cloud Platform offers a series of modules with a free layer, which as long as we do not exceed it will not charge us.

This layer is for quotas or consumption, and both are renewed month by month.

In the following Link there is a detailed list of all the products that have this benefit together with the limits that they have month by month.

Among the most notable are:

Cloud Storage

5GB of completely free storage, excellent for being able to backup your files in the cloud with the security that Google provides to its entire cloud ecosystem.

Compute Engine

Set up your server in the cloud available 24/7, although the machine does not have a large capacity, any type of system can be set up on Linux.

It is used not only to put a system into “production” but also to study and test tools.

Cloud Functions

Do you have functionalities that you would like to make available without having to design a server or microservice, be able to easily install the dependencies and go directly to deploy the function?

Cloud Function provides all of this, with your code files plus the requirements you can make your functions available in the cloud in a few minutes with up to 2 million invocations per month for free.

Cloud Run

If your idea is to have a microservice in Docker containers, you can use Cloud Run, an excellent tool to mount this in the Google cloud in a few minutes.

With up to 2 million monthly requests and excellent computing capacity, it is ideal for setting up your microservice with frameworks such as Flask or Django.

BigQuery

To store databases and even do advanced analytics coming to Machine Learning BigQuery is the ideal solution.

Allowing you to perform 1TB of queries per month plus 10GB of storage, it will allow you to not only upload your data but also process it.

Ideal for those who want to practice SQL with their own databases and even try out BigQuery ML and run Machine Learning models with SQL.

Ideas

You can set up microservices to automate web processes serving as a web back-end with Cloud Run, store response files in Cloud Storage to which you will have easy access, save user metrics in BigQuery, and even isolate specific functionalities in Cloud Functions.

Do you want to automate everyday things through APIs like Whatsapp, Twitter, Youtube, Linkedin or even alerts? Cloud Functions is the ideal place to program these automations, make them available and use them in minutes, you can even share it with friends and enjoy all the benefits.

Automate Youtube channel + Twitter bot
In this he went deeper in the article that I leave below, although the idea is raised for a local environment, it can be easily made available in GCP.

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