Free Tech Blog from LogicCloud IT
Moving Windows Server and SQL workloads to Azure provides flexible, scalable, and highly available cloud infrastructure. It also supports rapid innovation and digital transformation, freeing you to innovate. This infographic presents the benefits of running Windows Server and SQL Server on Azure.
One of the main challenges that modern researchers encounter centers on the size of their datasets. As research projects become increasingly more digital, the vast volumes of data that research generates demands enormous raw computing power, for both storage and computational capacity, which most organizations simply didn’t have access to. Cloud technology and artificial intelligence (AI) address this need, allowing researchers to free themselves from the constraints of their physical hardware. Cloud-based approaches can also boost the speed and efficiency of publishing, increasing the impact of research publications.
Subscribe now to learn more about the data management and automation capabilities of the Microsoft cloud and how they’re enabling breakthrough research projects around the world.
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As a banking leader in Latin America and one of the largest banks in the world, Itaú Unibanco handles thousands of transactions every second. Operating on an aging data infrastructure, the bank found it difficult to expand its digital services without breaking SLAs or putting its guarantee of continuous service availability at risk. Since it migrated database services to Microsoft SQL Server 2019 based on Intel datacenter technologies, Itaú Unibanco can confidently scale data collection and infrastructure maintenance while it delivers the high level of service its private and commercial banking customers rely on.
Thanks to cloud technology, researchers can take advantage of faster, more advanced and more scalable resources that enable them to perform tasks that they can’t manage using in-house resources. The cloud also enables scientists to quickly run tests across a variety of platforms and virtual machines with different specifications, which can aid rapid prototyping, interoperability testing, and performance testing. A cloud solution can also provide researchers with ways to augment their existing resources by handling peaks in demand and reducing competition for local resources, when multiple teams are working toward an upcoming deadline. By reducing dependence on on-site computing, research projects can increase efficiency and scalability, and deliver greater results faster.
Watch this video to learn how Australian National University (ANU) is using Microsoft Azure to help decode more than 7 billion base pairs of DNA in the human genome and take its research further than ever before.
Thanks to AI, business applications will soon be able to answer complex questions, help users navigate interfaces, and enable cloud vendors to reduce support from personnel to manage their loads. AI is also being used in various software applications to help decision-makers identify and automate repetitive tasks, improving employee productivity. Increased understanding of how to better implement AI in business applications likely will lead to the emergence of new features, such as natural-language processing (NLP), that can help managers interact in more-intuitive ways with AI-powered apps.
In this article, you’ll learn about the innovative features powered by AI and machine learning (ML) that you can expect to see in business applications in the next five years.
In recent years, the global business landscape has witnessed a significant increase in cloud adoption. This has created significant value over traditional datacenters via greater scalability, cost-efficiency, and other performance improvements. Yet cloud migration requires careful planning. For a migration to be successful, it’s important for the business to come up with a strategy that also covers the end cloud environment, training, and—most importantly—the readiness of workloads and applications.
In this eBook, you’ll discover the key preliminary steps to consider in evaluating a cloud migration, as well as the various approaches for rehosting, refactoring, rearchitecting, and rebuilding your workloads for the cloud. You’ll also learn about some useful tools that you can use to accelerate your migration project and get tips to help you ensure post-migration success by using Microsoft Azure.
Considering modernizing and moving your business to the cloud? You’re not alone. You’re also not the one thinking about security and compliance.
Microsoft Azure has advanced security features and more compliance certifications than any other public cloud provider. Full back up and recovery to the cloud and built-in security features across on-premises and cloud deployments. Single sign on (SSO) for each employee, extending local user identities and permissions to the cloud.
For the best in security and compliance, Microsoft Azure sits alone.
Ready to move your applications to a modern cloud?
The Modernization Solution from Microsoft Services provides a thorough approach to move applications, data and infrastructure to an enterprise-ready cloud.
While migration requires commitment, Microsoft Services provides unparalleled guidance and support during the entire process.
Ready to move your applications to a modern cloud?
The Modernization Solution from Microsoft Services provides a thorough approach to move applications, data and infrastructure to an enterprise-ready cloud.
While migration requires commitment, Microsoft Services provides unparalleled guidance and support during the entire process.