“The rate at which our scope was growing would create capacity and maintenance issues with an on-premises or hybrid infrastructure. Going forward, provisioning new servers and keeping them running would take up too much resources. With Google Cloud, we could minimize infrastructure management while simultaneously maximizing our scalability.”
“We receive data ranging from the number of jobs per customer to the most popular lens designs. Applying that to Cloud Machine Learning Engine and BigQuery will improve our marketing and production. Meanwhile, we’re enabling client-side applications to send technical information direct to BigQuery for troubleshooting and BI purposes.”
“Our Google Cloud migration has transformed the day-to-day job of a data engineer at Zulily.”
"We're working to make Cheminformatics more open and developing datasets and technologies for public use, to help science grow faster. Working with Google Cloud enables us to both leverage more computational power, and build on innovations such as novel neural network models."
"The ability to employ extremely large data training volumes revolutionized what we were able to achieve. Thanks to TPUs and Dr Rajan's hard work, we are perhaps five years ahead of where we expected to be with the project."
"To eliminate service disruptions and enhance maintenance efficiency, we needed to move our games distributed overseas to a cloud infrastructure with cost-effective computing resources and powerful global connectivity. Google Cloud checks all the boxes."
"We were at the limit with our bare metal infrastructure, and needed to move to the cloud."
“When we run our platform on Google Cloud, we deliver an optimum scalable performance platform, and that’s how we give value to clients.”
“Google Cloud fit perfectly for us. We liked the navigation and security features. And long term, we’re very interested in Google Cloud's AI capabilities.”
"As a fast-growing startup, pace of innovation is very important for us. With Google Cloud, we could build an environment where we can have continuous delivery, releasing as much as we can as quickly as possible."
“The Google Cloud compute instance worked great and had single-digit ping time to the classroom API server. It was fast to the point that when I went from testing to pushing the service into Google Cloud, I had to add wait timers to make sure the previous API call finished …
"Fully compatible Google Cloud services in a versatile ecosystem takes a huge load off of our shoulders. It means we don't have to worry about settings and can get down to the business of inventing the future of microinsurance in Southeast Asia."
"We started with a different leading cloud provider, and from our perspective, we find Google Cloud to be the most professional, simply the smoothest in terms of dynamics, documentation, and user interface. For our developers and engineers, Google Cloud just works better."
"To improve the quality of our games and the way we implemented our data-driven decision-making process, we needed a better-connected global network, a translation tool that delivers highly accurate results, and data analytics software that supports near real-time analytics. Google Cloud meets our needs in all these respects."
“We want to become more structured in the way we work. The way Google Cloud is set up is ideal for this. It’s very well-structured: there’s everything from totally managed services, to services that are not managed at all. We set the cursor for where we want to be.”
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