“Myself and my team are very pleased with Google’s reliability. We have also created an architecture that scaled easily and enabled us to increase the number of pages per second we cover from 1,000 to 20,000.”
"Certainly, cost was a factor in our decision to move to Google Cloud, but we also wanted to try Med-PaLM, Vertex AI, and Gemini tools, so it made sense to have our entire infrastructure on Google Cloud."
"Every few minutes, new real-time data feeds land in BigQuery. This is a radical improvement from the daily and weekly data loads that CNA did previously."
"With our technology, patients can chat with their dieticians, log their meals, track their weight, or participate in learning modules. Our patients tell us that with the app it's much easier for them to stay motivated and reach their weight goals."
"We wanted a stable system that's scalable to a level where we don't need to worry about it any more. So we could just grow, knowing that our cloud provider was able to grow with us. Google Kubernetes Engine was the most mature solution on the market."
"At one point, we started having issues with infrastructure provisioning and scalability. It became a very time-consuming and costly process every time we needed to scale to support a specific event. This is one of the key reasons we decided to migrate our entire infrastructure to Google Cloud."
"Using Looker Studio, we can better understand what content works and what doesn't. Our product team now works closely with the editors to optimize the best performing content for even better visibility."
"Revenue optimization will be top of mind but with CMS 2.0, we will be able to create content that our audience will want to consume as we build our subscription model. This will be based on the archival data available on Google Cloud. We also look to expand our reach …
“At our size, we just can’t afford to have engineers focused on managing machines or services, it’s not adding enough value for us. To deliver new features and improvements constantly, we want to use managed services whenever possible, which is why the Google Cloud ecosystem appealed to us.”
“We’ve seen our peaks of users double. We turned to Cloud Logging and Istio to increase our monitoring capabilities, which has helped us to move quickly in remediating any performance bottlenecks, enabling us to meet increasing demand.”
“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.”
"Customers today are looking for a system that is scalable and able to take on a multitude of different datasets. It needs to provide an overview for better context, instead of having various systems working in silos. That's where being in the cloud is beneficial."
"Since moving to Google Kubernetes Engine, we rely on the autoscaling feature to give us compute power only when we need it. This has saved us significant cost because a lot of the infrastructure management work before this had to be done manually."
"The control panels we manufacture are designed to be used for at least a decade, so we exercise great care in ensuring the connectors' quality control to prevent problems such as poor contact. But visual inspection is time-consuming. Plus, no matter how careful we are in our inspection, we cannot …
"We have achieved a 100 percent defect identification rate, which means that there are no false negatives. In the operational model that we built, there is a manual visual inspection in the later phases of the process, so the false reporting rate is permissible to a certain level. We believe …
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