Australian National University (ANU) addresses the computing demands of genome research

As scientific research becomes more and more complex, scientists need new, scalable ways to store and analyze ever-larger troves of data. They also need unprecedented amounts of raw computing power to process the data they obtain and deliver timely results that enable projects to stay on track and within budget. To ensure that their research adheres to these restraints, modern-day scientists need to increase efficiency via automation and other approaches whenever they can, wherever they can. Artificial intelligence (AI) and cloud technology give scientists the tools they need to advance research faster than ever before, get results quicker, and achieve scientific breakthroughs like never before. In this video, you'll learn how researchers at Australian National University (ANU) are using Microsoft Azure to dramatically shorten the amount of time they spend on data analysis, enabling faster publication of their cutting-edge genome research.

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Overview of Microsoft Azure Cloud Services

 Azure Cloud Services is an example of a platform as as service (PaaS). Like Azure App Service, this technology is designed to support applications that are scalable, reliable, and inexpensive to operate. In the same way that App Service is hosted on virtual machines (VMs), so too is Azure Cloud Services. However, you have more control over the VMs. You can install your own software on VMs that use Azure Cloud Services, and you can access them remotely.

More control also means less ease of use. Unless you need the additional control options, it's typically quicker and easier to get a web application up and running in the Web Apps feature of App Service compared to Azure Cloud Services.

There are two types of Azure Cloud Services roles. The only difference between the two is how your role is hosted on the VMs:

• Web role: Automatically deploys and hosts your app through IIS.

• Worker role: Does not use IIS, and runs your app standalone.

Microsoft Azure Web Apps

Microsoft Azure Logic Apps

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