Google Cloud Platform

We use it to store and access data in the cloud. This includes bucket based storage in GCS buckets, but also queried data from BigQuery in the cloud. This enables easy sharing of data across projects. Additionally we use Google Cloud Platform for tracking logs of jobs running and executing in the cloud to debug failed runs.

When most of our stuff is in Google Cloud Platform, it works great to integrate and cross/share data that is all in Google Cloud Platform or BigQuery. It has simplified things from a permissions perspective as well. I'd say it is less appropriate when trying to test something quickly locally, or when half your stuff is in AWS or another provider.

We use it for cloud storage across our IT and Marketing teams at the University I work at. It is incredibly easy to set up, and ridiculously affordable. We use it as a connection tool from GA4 primarily to back up data since we don't have in house data storage capacity.

For how it helps our team with data storage and connecting to GA4 as a backup option, and the incredibly low cost for us to use it and reliably back up our data, I would highly recommend using this tool for all of your cloud storage needs. It's easy to use and their customer service is always responsive and easy to get a hold of.

We use Google Cloud for many things, like running our apps, keeping data, and a few neat things with Machine Learning. It lets us not think about servers and iterate on building faster. It scales well under high traffic without breaking a sweat. BigQuery is suitable for scanning through multiple terabytes of data quickly. It is also convenient for team projects, as everything is so centralized. It simplifies things and allows us to go faster without falling down tech rabbit holes.

We used it to build a real-time analytics dashboard with BigQuery, and it worked very well, with super-fast processing and output to the dashboard, as well as no server management. However, when we tried using cloud functions for a live chat feature, the cold start delays failed and made it feel too slow for real-time use. So, it’s lacking for this.

My organization choose Google Cloud Platform to place almost the infrastructure in it because it is the most cheaper than other Cloud Providers. As SRE engineer, my team is in charge of managing all the cloud infrastructure. The scope of using Google Cloud Platform is quiet board inluding: backend and web hosting, data storage, data analytic, machine learning. I managed all of these and also monitor and optimize the cost of them.

Google Cloud Platform is well suited for every project or company that need an infrastructure that is easy to use and manage and also the good price