Case study of Microsoft Azure

Microsoft Azure is one of the leading cloud service providers and a strong competitor of Amazon Web Services. Microsoft Azure has plenty of features that make it one of the crowd’s favourites. Microsoft Azure, formerly known as Windows Azure, is Microsoft's public cloud computing platform.

Case study of Microsoft Azure apopular cloud computing platform. We thoroughly studyvarious key concepts and features provided by this plat-form. This study will provide researches and in-depthunderstanding of various aspects of Microsoft Azure.

Benefits of Microsoft Azure

• Easy disaster recovery and backup :- The volume of data is constantly increasing at a very high pace. Thus, managing and securing data has become more complicated for IT officials. Microsoft Azure enables users to backup virtual machines, SQL workload and on-premises VMware to streamline the data recovery and backup processes.
• Complete compliance coverage :- Microsoft follows some of the most thorough security and compliance standards. They have maximum global compliance certificates and were the first to get the new international standard for cloud privacy, ISO 27018.
• Scalability on Demand :- Its flexible features can work both on a manual and auto scaling basis, in line with the demands of application usage. Unlike traditional hosting, scaling in Azure is much easier because you can change to different service plans depending on your needs.
• Cost-effective :- One of the major benefits with cloud service providers is the cut down of upfront costs. Since you can configure and scale at will, you are not required to invest heavily here. Microsoft Azure ensures small scale investment does not require upfront costs.
• CloudWatch :- There are many applications that are deployed on AWS, so this service helps in monitoring those AWS cloud services. The services provided by Cloud Watch include the analysis, collection, and storing of historical as well as real time performance data. This can improve resource use along with cost optimization and changing workloads from time to time.