“Google Cloud Platform makes it easy and automatic to configure and scale virtual machines, and ongoing operational IT costs are at least 20% lower than if we had to host the application in a traditional data center.”
"We learned about the Kubernetes container orchestration system and how Google Kubernetes Engine could help us deploy containerized applications in a managed, production-ready environment. We quickly realized this would help us meet our scalability challenges."
"What attracted me to Google Cloud was that we wouldn't have to worry about basic management and could focus on bigger platform development. I feel lucky that we could build Pendo with the support of Google."
“Our key objectives are to iterate products more quickly and make faster decisions. Now we can connect multiple data sources, build use cases, and deliver to production quickly, enabling faster product activation and automating, which is key to the success of digital marketing.”
"Rather than tell a customer we can reach them in, say, 45 minutes, based on previous experience and gut feeling, we can retrieve an accurate traffic scenario and calculate delivery times based on traffic congestion levels and likely average speeds."
"Anything that we wanted to customize or build on top of the Apigee platform, we could do it in no time with the platform's robust configuration and customizable framework. We track feature requests from customers and use them to make required configurations to the Equinix API platform. It's so easy."
"Instead of prioritizing by intuition, departments are now using Looker dashboards to change the way the data architecture is designed from the beginning of a project. The prioritization of objectives is now driven by data that was previously unavailable to those decision-makers."
“Informatica was invaluable in helping us migrate and consolidate our systems on Google Cloud. In combination with utilizing Equinix’s interconnection products to migrate ‘on-prem’ data to cloud, we are now in a better position to improve our own platform and the service we provide customers using more integrated data and …
"After careful thought, we decided Looker was the right choice for us as a data-based business. It’s a great platform for fast-growing companies with smaller business intelligence teams that want to explore their data in depth."
“With local clusters, we were tied to a few default configurations. Compute Engine allows us to create the ideal machines for each job. If I need four CPUs and 160 gigabytes of RAM, I can start using them instantly. This way, we can leverage our existing resources much more efficiently.”
"Our aim was to launch within three or four months, and with that kind of timeline our main driver was developer-friendliness and speed of implementation. We found Google Cloud to be the quickest and easiest cloud platform to build solutions that take into account future growth."
”IT procurement in universities is often optimized for long research projects. You’re locked into infrastructure for four to five years, lacking the flexibility needed in fast-paced projects. Google Cloud lets us readjust the setup to our needs, creating opportunities and preventing us from spending on infrastructure we can’t use optimally.”
"Let’s say you have your mom round for coffee and you suddenly realize you’re out of milk. There’s no need to run to the store, we can get a carton to you in under 15 minutes."
“eToroX is all about connecting the financial world with new technology, at the cutting-edge of innovation in fintech. The easiest, fastest, smartest way to do that is to build with a stable cloud solution that we can trust, to give us the transparency and support we need.”
“We seek to be as agile as possible. Customers’ needs change constantly, and we have to be able to adapt. Our users were requesting more data about their transactions, which led us to implement Google Maps Platform. As a result, we’ve reduced friction and increased all-round trust in our services.”
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