Cloud-based business intelligence and predictive analytics are today driving agility, efficiency, and competitive advantage like never before. Combine these with the exponential volume of mobile, social and online information available today, and every enterprise is finding it mandatory to be in the ‘business of data.’ Therefore, those who don’t unlock the value of information and embrace digital transformations are bound to quickly fall behind.
Effective workload management is the need of the hour and Azure, by offering more than 100 cloud services to build, deploy, and manage a breath of workloads, does this and more. From simple microservices and internet-scale applications, to adding 120,000 subscriptions per month, Azure spans 42 global datacenter regions -- more than any other cloud provider.
Common Azure workloads include .Net applications, SQL Server databases and DevTest environments, SharePoint collaboration, Office and Exchange productivity, and Big Data analytics.
Azure uniquely enables data-driven, intelligent applications -- from image recognition to bot services. Its artificial intelligence services support deep learning and real-time analytics, and its market leading security includes 50 compliance offerings, exceeding all other providers.
Not surprisingly, Azure is recognized as a trusted cloud platform for US government institutions, with 90 percent of Fortune 500 companies running their business on Microsoft Cloud.
Select the plus signs below for more information.
- Efficient resources management
- Dedicated focus on business-centric endeavors versus maintenance
- Scalability and flexibility
- Significantly decreased overall TCO
Trianz has a developed a comprehensive library for Azure which includes the much-in demand CECCA Cloud Enabling Core Components, which are leveraged to significantly reduce organizations’ ramp up time for jump starting their cloud adoption.
Trianz, in collaboration with Microsoft, is working on Azure Cloud Templates which will eventually be the industry-specific templates across different parameters to facilitate the assessment, implementation and operations of the Hybrid Azure Cloud.