I would say I am a GPT expert. I have used DataFlow, PCare, and Vertex AI. I have also used Microsoft.

There is not much difference between Google and Microsoft when it comes to technicality and user experience. It depends on what your organization uses. If your organization chose Microsoft, then you'll use Family. If your organization chose Google, you'll use GCP.

I used to try AWS EC2. It's a kind of infrastructure. I tried AWS EC2 before I learned EC2. It is helpful to learn GCP. EC2 is also the same. We can create virtual machines in the AWS platform. 

When it comes to the purpose perspective of end users, GCP is much better than AWS, especially for building devices. Also, the network device is very simple. When we create a VM, it is better. When we create resources, like databases, I will definitely go with GCP. And when I compare, I really go with GCP. It is very easy to use and have minimal learning curve.

We were using certain shared hosting services. So, something like what the older generations were using. And then we decided to move to the cloud. So, there were some old-generation computers that were used.

We mainly switched to Google Compute Engine because we wanted to go to the cloud. One was the cloud that had all kinds of better scalability costs and everything. So, combining all this with moving to the cloud was a better option.

So the reason is that it's developer friendly and it's easily manageable, it's easier to learn than AWS.

Previously I used Jupyter (formerly IPython) as a tool for interactive data analysis. My primary reason for switching is that Datalab has built-in integration and high level magic commands for certain Google Cloud Platform products, such as Google Cloud Storage and Google BigQuery. In addition, Datalab has built in charting capabilities.

It's the most engineer-friendly product compared to Amazon AWS or Azure.

I have used 4 other cloud providers over the years and have been using one provider for some applications for over 10 years.

The switch from internally managed services to a cloud environment was a management decision.