3854 Microsoft Azure Testimonials

"We use [Microsoft] Power Apps for process automation such as internal document approvals, and create tasks using Microsoft Forms, integrated within Teams."

"By using StorSimple and Windows Azure storage service, Steelcase has been able to reduce SAN storage costs by 46 percent."

"When we received a request from an operations division, for example, with regard to the development of a specific system or the procurement of a server used for a particular job, on-premise solutions had a problem with long lead times. There were many cases that required several months when internal procedures on the budget and other paperwork were also included. Therefore, it was difficult for us to keep up with the speed, which is an important factor in today's business. To solve such problems, we dared to adopt cloud services."

"[Hurricane] Maria was a wake-up call to realize that we had to be in the cloud to protect our business."

"With Azure, we have a powerful and scalable cloud platform that can help us reach customers in all industries around the world."

"With Windows 10 IoT Core and Azure, we can release a product now and have the reliability and scalability we need to look to the future. And, by scalable I mean not only the number of devices, but also an environment where edge processing and machine learning can be applied."

"Security is a key factor for us as we follow this trend of integrating more solutions into on-premises equipment and putting processing power wherever it makes the most sense—whether it’s on the device or the cloud. One of the reasons we selected the Microsoft platform is the ability to connect Windows 10 IoT Core with Azure and ensure secure connections."

"We had a manufacturing customer identify a problem in one of its monthly reports…. It was able to take corrective action before there was a problem. Downtime in that environment costs about $300,000 an hour, so the company saves a huge amount of money when it prevents any of those machines from shutting down."

"When we looked at how we could bring down the cost, improve performance and security, and increase the reliability of our core data infrastructure, Azure was the natural choice because we have a very good partnership and long history with Microsoft. Choosing Azure has been a very successful experience."

"We were surprised and impressed by the deep and thorough support of open source in Azure. We use Node.js, Go, Java, Python, and Ansible, and they’re all wonderfully supported in Azure."

"Running Polycom in Azure delivers huge benefits to our customers with regard to product freshness, performance, uptime, and overall user experience."

“We chose to use Azure Virtual Machines because they enabled us to easily migrate our existing Polycom virtualized infrastructure images from Hyper-V to Azure and upload a VHD. Azure Container Service provided simplified configuration and deployment using templates, which meant that we didn’t have to manage the DC/OS cluster ourselves.”

"Our focus is to bring enterprise-grade technology to the traditional retailers alongside building skillsets in their workforce, enabling them to thrive and grow by adopting technology. With the Windows 10 operating system for the client-side solution, backed by Microsoft Azure at the back-end, we’re not only solving for robust levels of agility and reliability, but also a highly secured ecosystem, given there’s a lot of data transmitted every second, with every transaction at the store."

"Given that we’re a startup, maintaining both minimal cost overheads and agile development cycles is critical for faster go-to-market. On one hand, open source technologies enabled us to achieve the former, but lack of support around updates and features, staging test environments and balanced agility to serve large enterprises were proving to be major roadblocks. In our quest for building a solution that’s both holistic and scalable, we looked at Azure for its easy set-up, alongside Microsoft’s continuous focus towards making open source technologies run seamlessly on its platform."

"Going forward, we want to explore big data analytics services such as HDInsight and machine learning from the data that gets collected in the system to create predictive models for our customers."