-
“Thanks to BigQuery, we can show nice graphical design of their messaging flow, so they can see that everything is going right, or something is going wrong and make a real-time adjustment to their workflow. It’s the real-time aspect that has customers excited.”
-
“People used to run simple queries that could take 48 hours or longer. Now, our processing times are up to 20 times faster, which completely transform the insights we gain and the actions we can take. We can combine data from many sources and get a complete view of our …
-
"As we didn't know how big the demand was going to be, our main concern was having an infrastructure that could meet it. We had to analyze which technology we had at our disposal and choose the one we could afford. That's why we chose Cloud Run for scaling, since …
-
“Generally speaking, the choice of Google Cloud revolved around key factors such as proximity, openness to dialog, and seeking solutions, as well as the teams’ resolve - they were thinking as one. We also took Google’s legacy expertise into account. After all, we were creating a new, gigantic market, and …
-
"Our traffic rates vary a lot, but there is a peak at noon, especially on Mondays, which almost doubles the traffic recorded on Fridays. Our current infrastructure, made possible by Google Cloud, allows us to meet this demand."
-
"We needed an alternative on the cloud to meet demand fluctuations. We need to grow constantly, and having a partner like Google makes that easier."
-
“The resource-intensive tasks we’re exploring, such as machine learning, often require specialized hardware. Google Cloud opens up new options for our IT infrastructure to access GPUs and other types of accelerator hardware.”
-
"One advantage of running SAP on Google Cloud is the business continuity on a highly available platform. Google Cloud provides failover between sites so we can keep accounting tasks running even if a disaster occurs. We can also easily scale up and down to meet changes in business demands and …
-
"Building a data lake is an example of how we’re able to do more on Google Cloud compared to our existing on-prem infrastructure. We want to keep improving our platform capabilities with Google Cloud and deliver new solutions to grow our business.”
-
“Building a cloud-native data lake on Google Cloud follows our decision to use Google Cloud as the primary cloud where we’ve deployed key digital components such as Apigee API Management and Google Workspace. By centralizing the visualization and consumption of data in Google Cloud, we provide business users with fast …
-
“We needed storage space. With Qi Network’s support, we started assessing scenarios. We now discern between investments in data centers and what may be stored in the cloud. Google Cloud provides us with an excellent service in that regard, at an extremely low cost.”
-
"Our technology platform is built in-house so we have full control, and are able to constantly iterate and improve every aspect. But in order to support our growth and develop more data-driven services, we decided that moving to Google Cloud was the right choice."
-
"It's great not to have to script all our changes. We can decide what we need to run, and Google Kubernetes Engine figures it out for us. Rolling things out is often just a matter of updating the version."
-
“Back then, we realized Google Cloud would be the best partner for our apps and services as it was increasingly driving the integration and progress we were aiming for. As time has gone by, we’re sure that this helped our disruptive growth. Our evolution during that period was exponential.”
-
"A key issue we faced was stability, because everything was running in one machine. This was fine at first, but as the amount of logs we were producing daily began to increase, this single machine would fail. It got to a point where we couldn’t even log in to clear …