What is your primary use case for Google Cloud?

I currently work with Google Cloud, mainly with BigQuery. I have recently started, approximately three months ago. I primarily use Google Cloud for BigQuery operations and data storage, similar to SQL servers. The advantage we have here is that it is totally based on the cloud, so there is no maintenance required and it is straightforward to connect from different applications. With SQL servers, we need servers connected and ports to be opened. In the case of Google Cloud, these requirements are eliminated. We just need the project ID and the JSON, and we can connect from anywhere, from any application.

Our primary use case for Google Cloud involves infrastructure management. We host several virtual machines (VMs), manage network infrastructure, and use Google Workspace along with a few applications hosted on Google Cloud servers. We have recently started a business intelligence project and are working on using Google Looker Studio.

Our primary use case for Google Cloud ( /products/google-cloud-reviews ) is deploying applications. Our applications are deployed on Google Cloud ( /products/google-cloud-reviews ), and we use it to manage our deployment process.

My platform offers a monitoring solution for the virtual machines hosted in GCP. GCP is one of the firms that I work with. For customers who use GCP as an infrastructure service, software as a service, or platform as a service, I provide visibility to their environment by using my tool.

For personal storage, Google Workspace, Google portal, Google video, Google file, and Google Cloud Shell for programming language.

We worked with Google Cloud to ensure HIPAA compliance approval in health insurance companies. At that moment, Azure didn't have those HIPAA compliances. When considering a solution, we have to see which one is compatible with that region and has everything.

So far, I like all the features that I use with Google Cloud. I like it very much compared to the previous tool that we had.

Unlike some tools we have on Microsoft, Google Drive allows me to share documents with people outside my organization easily. I can upload a document, create a link, and share it directly. With Microsoft, sharing with people outside my organization often requires additional permissions, possibly due to our IT policies. For presentations, I use Microsoft tools for work-related tasks, but for personal projects, such as creating something for my child's class, I upload and share them via Google Drive instead. Additionally, we use Google Drive to upload and store personal documents. The product is intuitive and comfortable to use. People may not realize they can create and share presentations and documents with a link.

These cases involve infrastructure services, such as creating virtual machines in the cloud. A notable use case is creating a DR server or hosting a centralized authentication tool like Microsoft AD or an LDAP server. These should run on the cloud because it provides a high level of availability. When creating a DR, it should be on the cloud to ensure accessibility from any location and protection against various threats, such as power outages, resource constraints, viruses, hackers, or physical attacks. Thus, DR should always be on the cloud, while production services can run on-premises. Authentication servers and critical data backups should also be on the cloud for secure and global accessibility. For instance, the backup of a primary application server should be stored on the cloud to ensure it is secure and accessible from anywhere in the world.

I primarily use Google Cloud for analytics purposes. The data originates from our on-premise cloud system but is transferred to Google Cloud for analysis.

The solution is used for storage for disaster recovery. It is used to store all the company data outside the company premises. It is also used for backups, AI processing, and database storage.

We use the solution for our SAP infrastructure.

All emails are scanned for viruses or fraudulent activities. Everything is validated. The emails are also scanned to see if users share valuable customer information.

I use Google Cloud for services like corporate email, data collection, Google Meet, session recording, presentation, and storing important documents in the cloud.

I use the solution to deploy .NET applications to the cloud. I deploy Web APIs and console applications.

I'm using Google's solutions in the cloud to search for documents, store them, and so on. Since I have retired, I'm speaking as an individual user.

We use Google Cloud to deploy our servers on containerized token servers and store user databases, which mostly consist of 5S data. It is very useful for authentication, as most of our back-end operations are powered by Google.

We primarily use the solution for data. For example, we use it for email and Google Docs and sheets and content of that nature.

We primarily use the solution for our virtual machines. We put all of our software infrastructure onto virtual machines, and then we use Google as the cloud for storage. We use all of our own solutions inside and not their services so that if we did want to move to another cloud, like AWS, we could do so easily.

We used Google Cloud for to host our automation platform.

Our aim is to provide comprehensive solutions to our valued customers. Whether it be to fulfill their specific requests or to help them attain their desired outcomes, we utilize the cutting-edge technology available in Google Cloud. This allows us to effectively cater to our client's needs while also providing a mutually beneficial experience.

We use Google Cloud mainly for development purposes.

We primarily use the solution for small applications. There are also a few web applications with Angular.

Our primary use case is for cloud network applications and for building artificial intelligence-based products.

We primarily use the solution for deploying to the cloud. We have two products in production.

Our primary use case for this solution is the installation of files for tracking and storage purposes.

We're using the solution for multiple purposes.

When you push your networking, storage, and other infrastructure from on-premise to the cloud, you can let go of your on-premise real estate and shift the burden back onto the cloud vendor. Google absorbs the cost of power, cooling, management, etc. You no longer need to spend on CapEx. Instead, you are spending on consumption, so your CapEx moves into OPEX and then on the utility. That's the generic use case for why somebody would move their workload to the cloud.

We use Google Cloud for storage, infrastructure, and services. It provides file storage and infrastructure for deploying virtual machines, Kubernetes, or Dockers. We also use it for Google services that can be accessed by other software. Our company currently has about 60 users, and we plan to increase usage in the future.

Google Cloud can be used to share files with no need to carry them with you since it is on the cloud. You can access it anywhere if you are traveling or if you have important documents.

This solution is used for storing my data. It's for my family's personal I work as an information security officer.

We use this solution for email and also make use of the Google servers and related services.

I typically use the solution for creating infrastructure.

I primarily use the solution as the server for some of the applications I use.

I use Google Cloud for security purposes when sending files or any important document to others.

We build solutions based on the Google platform. We don't create solutions for ourselves. We create them for our customers. We are using it specifically for our machine learning and data analytics. We are building our data solutions by using Google Cloud services. We are building the analytics dashboards and coming out with predictive analytics for education.

I use it for documentation.

We use this solution for saving and sharing documents.

We use it for storage and sorting our company documents.

I primarily use the solution for a couple of small development environments.

I am in the process of migrating from on-premises to the cloud. We use it for IT infrastructure deployment and management.

I develop multi-cloud solutions. I'm a customer of Google and a team manager.

The primary use case of this solution is for storage and document sharing. For example, if I have a customer and they want to share a document, I can access it through Google.

We largely use the solution for hosting and for the database it offers.

We are using GoogleCloud for hosting a SaaS platform.