“Our architectural landscape and transformation design principles enabled us to avoid running separate data warehouses. Creating a data lake enabled us to extract deep insights from historical and real-time data from disparate sources in a unified, clean format. This is a great benefit and big time saver for us.”
“One of our key challenges is to reduce time to market, while making sure that the solutions we launch for our clients remain secure and reliable. That’s why we decided to move to the cloud, and as we wanted to use Kubernetes, Google Cloud was the natural choice.”
"Our storage capacity was limited, as our servers were on-premise. Other issues arose when we launched services with usage peaks, such as vaccination processes. Therefore, we needed to scale. And that's why we chose Google Cloud to embark on a new journey."
"It's difficult to find people with experience across multiple cloud environments. By having all backend operations on Google Cloud, engineers can ramp up on the technologies quickly and confidently."
"Even though we're a Google Cloud shop, we evaluated other API management platforms. During a three-month evaluation we were impressed by Apigee's relationship with Google, along with the company's ability to deliver a fully realized and commercialized product. We've been very happy with our decision to go with Apigee."
“Our Google Cloud migration has transformed the day-to-day job of a data engineer at Zulily.”
“We rely heavily on the Google Cloud team. They’ve been phenomenal. I can’t say enough good things about them. They unblock us on nearly a weekly basis with support on difficult technical questions, which has been pivotal for us.”
"In just a few weeks of launching our pizza tracker, we could see where operations took too long to complete. We could break out operations and drop them into a Cloud Pub/Sub queue to be handled asynchronously. As a result, we reduced average response time to the API by 10x."
“After looking at options, we decided that BigQuery was the cloud data warehouse solution we needed. It’s powerful, highly scalable, easy to use, and one of the most cost-effective options available.”
“Before we integrated Google Maps Platform On-demand Rides and Deliveries solution, our drivers opened other apps such as Google Maps or Waze to navigate to the destination. Our drivers lost sight of the FREE NOW app while navigating to their destination. With Google Maps navigation embedded into our app through …
"We collect tens of thousands of photographs from each and every camera trap and many of these may be blank. Using these automated machine learning tools to identify species or sift out blanks can dramatically change how we work, saving our limited resources to focus on our conservation work."
"A successful business relies on being able to collect, analyze, and interpret data rapidly to make the best business decisions. The same is true for conservationists using camera trap data. By increasing the speed of image analysis with AutoML, conservation impact can be made more quickly and be more effective."
"As a researcher, AutoML has put some very clever machine learning algorithms, and Google Cloud computing power, at my fingertips. For the first time, this has allowed us to really start investigating the power of this technology for clearing the backlog of wildlife imagery we have in conservation."
"A stable and secure global network is essential for cross-border ecommerce. Compared to other cloud providers, Google Cloud offers 10% more network locations, which enables our customers to operate their online business with the same level of connection stability and security in many countries across the globe."
"We loved Google Maps Platform as its accuracy and value was proven by consumers using Google Maps for their day-to-day needs."
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