Tuesday 8 March 2016

Understanding Cloud Services and your Options


We’ll keep the introduction relatively short here. It’s very clear that cloud is now impacting organizations of all sizes and across all verticals. Cisco recently reported that by 2019, more than 86 percent of workloads will be processed by cloud data centers. Furthermore, global spending on IaaS reached more than US$16.5 billion in 2015, an increase of 32.8 percent from 2014, according to Gartner’s latest forecast. Finally, findings from a recent Gartner report go on to say that the use of cloud computing is growing, and by 2016 this growth will increase to become the bulk of new IT spend.


A critical point to remember here is that cloud computing isn’t just one overarching umbrella term. Rather, today’s cloud ecosystems is a collection of services, infrastructure and resources all being delivered for various use-cases. With that in mind – let’s look at some modern cloud services and how they impact your business.


  • Network-as-a-Service. As more users connect to the cloud, data centers will need to figure out a better way to deliver high quality, low latency, network services. Already, we’re seeing NaaS become a key category of cloud computing where specific delivery models are defining how users utilize these services. For example, Bandwidth-on-Demand (BoD) can be considered a NaaS service model where bandwidth can dynamically adapt to the live requirements of traffic. Furthermore this can be configured based on number of connections, nodes connected to the data center, and where traffic priority policies integrate. As more users connect to the data center for things like streaming, data sharing, and consuming compute cycles – delivering high quality network services will be an absolute necessity.



  • Data-as-a-Service. With more users comes a lot more data. In this service model, data is delivered on demand in a manner which allows the actual information to be clean and very agile. The idea is to offer data to various systems, different types of applications, and different user groups. This data would be available regardless of whether the user is inside of the organization or out of it. Furthermore, policies can be wrapped around this data to further enhance QoS, integrity, and agility. Already, big cloud vendors are utilizing a variety of DaaS models to enhance the data delivery process. Providers like Microsoft Azure deliver and store data via three different methods – queues, tables, and blobs. The future of DaaS is bright. Organizations will want to further control and optimize both structured and unstructured data sets. Applications include everything from optimized data delivery to big data analytics.

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