Google Cloud Platform

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.

• It allows us to focus our efforts on other, more important items at hand
• It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
• The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.

Box

Google Ads, Google Analytics, Looker Studio

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.

• It speeds up my ability to deploy code
• It handles permissions integrated across various servers
• It has made it easy to integrate with our artifact repository

Amazon S3 (Simple Storage Service) and Snowflake

Codefresh, Prefect, Anyscale Unified Compute Platform

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.

• Approx 30% cost savings after moving from on-prem to GCP due to reduced hardware, maintenance of DC support, and energy costs.
• There are much faster release cycles due to CI/CD pipelines with cloud build and scalable infrastructure using GKE. It works very nicely.
• We use BigQuery a lot, and what used to take hours now takes minutes, speeding up business decisions across teams. Clients.

Samsung SSD, AWS Chatbot, ChatGPT, Oracle API Manager, TrustRadius for Buyers, AWS Auto Scaling, AWS Amplify, 11:11 Solutions for AWS, AWS Backup, AWS CloudFormation, AWS CloudTrail and Azure AI Bot Service

Azure App Service, AWS Amplify, Oracle API Manager

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.

• It keep my organization stable and save, so that our business objectives still good for 3 years

Amazon Web Services

Amazon Web Services