“Overall, Google Cloud has made creating intelligent services much easier with an API that allows us to integrate different types of software in a straightforward way. This means we can focus on building algorithms and functionality, rather than making all the various pieces work together.”
"Today, we're looking to harness Google Cloud's sustainable development strategy and tools in the services we offer, as more and more of our customers are asking us about this topic."
“Google Cloud Platform and cloud machine learning services open up a new world for Hearst Newspapers, and for all publishers, to get more value from content data.”
“If you’re a company using Kubernetes, with the powerful tooling we’ve developed, as an operations manager you will be able to offer self-service experience to your developers, to make the most out of Google Kubernetes Engine. We see that as something that has the potential to grow our customer base.”
“Once we made the decision to move to a managed container stack that can meet our customers’ strict demands for performance, then Google Kubernetes Engine was an obvious choice.”
“The key advantages to working with Google are the raw technology and the access to the Google team. For the first time you can access data in seconds. Being able to correlate all this historical and live data is a big ‘wow’ for everyone involved.”
“We can easily moderate who has access to see aspects of data, some of which is confidential. We can implement access rights all the way down to the application level and revoke them dynamically, so we have very good control.”
“Without Google Cloud Platform, it would have been impossible to monitor more than half a million time series values every second. Now we can scale to 10 times that with ease using Google Cloud Bigtable. And because it's a managed service we don’t worry about loading in another 5 or …
“Google Cloud just works really well for us and lets us get on with doing what we do best. We don’t provide value to our customers when we spend all our time managing infrastructure components. We do provide value to them when we create beautiful APIs.”
“We believed Google Cloud had a brighter future than our incumbent cloud services provider in delivering efficiencies in the way we provided our platform and products to customers.”
"A VFX or CG studio might need a multimillion dollar render farm, but they only need it for an hour or two. With Google Cloud Platform, we're giving even small studios the resources they need to contribute cutting-edge effects and animation sequences to some of today's biggest films."
"Besides its massive compute scalability, the cost flexibility of Google Cloud aligns perfectly with our company values. Plus, with BigQuery ML, it's been really easy to incorporate cost predictions so our customers have even more control over their cloud rendering jobs."
“By moving to Google Cloud Platform we’re saving about $200,000 a year, or 75% of what we spent annually on infrastructure costs.”
“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 …
“With Google Cloud Platform autoscaling, we were able to go from 173 virtual machine instances to only 2. And App Engine allowed us to rebuild our environment rapidly.”
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