Industrial Patterns on Cloud

Industrial Patterns on Cloud

Sreekrishnan Venkateswaran
Copyright: © 2017 |Pages: 31
DOI: 10.4018/978-1-5225-0759-8.ch005
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Abstract

Cloud Computing is rapidly gaining traction today as the preferred platform for deploying both development and production workloads. Every industry has started adopting hybrid hosting models to leverage benefits that accrue from a convergence of technologies; Cloud is being used as a flexible springboard to mount a defense against disruptive digital trends. The use cases and associated gains are industry specific, ranging from leveraging auto-scaling to assuage seasonal spikes in Retail, and creating software-defined network functions in Telecom, to aggregating and analyzing sensor data in Automotive, and deploying multi-site disaster recovery in Government. In this chapter, we will embark on an expedition spanning ten industries, searching for patterns where Cloud enables advantageous solutions to business-specific categories of use cases. The observations are based on actual case studies chosen from hundreds of real Cloud deals across industries.
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Drivers And Use Cases

The retail industry, by its very nature, seeks many Cloud benefits. The seasonal spikes that it suffers can be assuaged by automatic expansion and contraction of compute footprint. The demand for zero-downtime translates to affinity for redundant components that have geographic spread. The need to serve thousands of simultaneous users is answered with elastic load balancing. Auxiliary requirements such as data analytics are cast into Big Data operations that are more optimal if they run off-premise.

In a recent survey (“Online Retailers”, 2015), 26 percent of large scale retailers claimed that Cloud technology is critical to their company’s future growth. Let's consider how:

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