This week at Microsoft Ignite, we announced several important additions to our Azure infrastructure as a service (IaaS) portfolio. Many companies, including GEICO, H&R Block, and CONA Services, rely on Azure to run a very diverse set of business-critical workloads, often requiring dynamic and scalable infrastructure that delivers unparalleled performance. In order to meet the […]
Expanding the Azure Stack portfolio to run hybrid applications across the cloud, datacenters, and the edge
Since announcing Azure Stack in 2017, we’ve set the stage for extending the cloud to customers’ datacenters. The hybrid cloud has been one of the design principles for Azure from the start. Today, customers including the Hong Kong Exchanges and Clearing Limited, KPMG Norway, Airbus, and the Malta Information Technology Agency are building hybrid solutions […]
Bring Azure data services to your infrastructure with Azure Arc
With the exponential growth in data, organizations find themselves in increasingly heterogenous data estates, full of data sprawl and silos, spreading across on-premises data centers, the edge, and multiple public clouds. It has been a balancing act for organizations trying to bring about innovation faster while maintaining consistent security and governance. The lack of a […]
Azure Arc: Extending Azure management to any infrastructure
If you are like many of our customers, you run a mix of applications in your on-premises datacenters, in the cloud and at the edge. We have been on a journey over the last few years to bring you hybrid innovations to meet you where you are. We have invested in individual connected management services […]
Azure Machine Learning—ML for all skill levels
Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue. AI and machine learning applications are ushering in a new era of transformation across industries from skill sets to scale, efficiency, operations, and governance. Microsoft Azure Machine Learning provides enterprise-grade […]
Simply unmatched, truly limitless: Announcing Azure Synapse Analytics
Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health. Data lakes can uncover important signals on customers, products, employees, and processes. Both are critical, yet operate independently of one another, which can lead to uninformed decisions. At the same time, […]
Azure services now run anywhere with new hybrid capabilities: Announcing Azure Arc
Enterprises rely on a hybrid technology approach to take advantage of their on-premises investment and, at the same time, utilize cloud innovation. As more business operations and applications expand to include edge devices and multiple clouds, hybrid capabilities must enable apps to run seamlessly across on-premises, multi-cloud, and edge devices, while providing consistent management and […]
Disaster recovery for SAP HANA Systems on Azure
This blog will cover the design, technology, and recommendations for setting up disaster recovery (DR) for an enterprise customer, to achieve best in class recovery point objective (RPO) and recovery time objective (RTO) with an SAP S/4HANA landscape. This post was co-authored by Sivakumar Varadananjayan, Global Head of Cognizant’s SAP Cloud Practice. Microsoft Azure provides […]
Azure Cost Management updates – October 2019
Whether you're a new student, thriving startup, or the largest enterprise, you have financial constraints and you need to know what you're spending, where, and how to plan for the future. Nobody wants a surprise when it comes to the bill, and this is where Azure Cost Management comes in! We're always looking for ways […]
New in Stream Analytics: Machine Learning, online scaling, custom code, and more
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights. Out-of-the-box integration with numerous other Azure services enables developers and data engineers to build high-performance, hot-path data pipelines within minutes. The key tenets of Stream Analytics include Ease of use, Developer productivity, […]