"With Google Cloud, we invest in the present, thinking of the future. We work to link decisions with intelligence."
"Canvas LMS was originally optimized for a different cloud platform, and is typically built on that platform."
"Throughout this process, we were delighted to discover that Google Cloud was offering more attractive ways to scale our business, especially Cloud Load Balancing. The platform would help us accelerate and streamline our adoption of new technologies."
"In terms of engineering, key challenges are: keeping the agility in building new features and iteration for current ones, while meeting cybersecurity requirements; scaling our IT processes to make up for the weaknesses of legacy systems used by stakeholders in the industry with whom we integrate; and continuing to create …
"We needed a cloud infrastructure because we anticipated rapid growth, but as a fintech company, security and compliance are critical for us. We saw that in addition to rapid scalability, Google Cloud provides very impressive security features that would help us to comply with financial regulations across the world."
"In the past, we had experienced server downtime during key sale events, and when this happened, people were unable to make payments through our platform, affecting our revenue. This is why when deciding on a cloud platform, we needed to ensure that we would achieve 100% uptime, and Google Cloud …
"An important benefit of Compute Engine is its flexibility. We can choose a template or custom our own template to expectation, which means we can tailor the computing resources to match our workload requirements. This helps us optimize the performance and review courses."
"Consolidating all our workloads on Google Cloud streamlines our pipelines and helps us achieve better data governance across the company."
"We have built a highly targetable audience solution and segmentation process. Users can now generate target audience segments for marketing campaigns using brand-purchase matrix/custom queries experiencing a 35% improvement in performance."
"With Google Cloud, we lowered infrastructure costs and improved the performance, governance, and efficiency of data products and teams. We're excited to continue to innovate on our existing solutions and prototype new ones for our customers."
"We have implemented several ML algorithms using on-prem infrastructure, our previous cloud vendor didn't have similar capabilities that BigQuery offers out-of-the-box. We're now looking at the BigQuery ML stack and Vertex AI to power the ML pipeline."
"Our user base had grown to a point where our existing infrastructure was stretched to its limits. Migrating to Google Cloud meant that we could scale with ease and build a foundation that would sustain the company through our next phase of growth."
"My favorite thing about Google Kubernetes Engine is that it works exactly how you want it to. It doesn't overwhelm you with options, the integrations are really top notch, and I don't have to waste time managing it. I can just get on with what I need to do."
"Our growth took place organically with the gradual addition of new features and new customers, mainly local municipalities and regions."
"With Google Cloud products such as BigQuery and Google Kubernetes Engine in our arsenal, we could build a Web3 digital wallet platform and application—a project we didn't think was possible just a few years ago."
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