Clearing the Haze

Adoption of cloud computing is growing at an increasing pace and expected to continued to grow. Gartner says, “Gartner’s 2015 cloud adoption study shows a 300% increase in the number of organizations making investments in cloud services, including IaaS, PaaS and SaaS.” (1) and “Seventy-five percent of organizations use public cloud services today, although sparingly, and 78% plan to increase their investment in cloud services in the next three years.” (2)

Enterprises are currently working with on-premise and hybrid cloud applications. As software providers move their solutions to cloud, the fundamental concerns of security and privacy still exist. Gartner says, “While adoption of cloud computing continues to grow, skepticism remains in some organizations.” (1). I learnt at GITPRO presentation few weeks back that the spend on security industry in 2016 is expected to be around $84.3 billion. While wider market adoption of cloud services and SaaS is still growing, Fog Computing is surfacing.

Fog computing is giving a new meaning to “moving computing to data” and changing the boundaries of cloud computing. With improved hardware performances of sensors and ability to compute, at the point of data capture, we are moving to a paradigm where only exceptional data or aggregated data will be stored on cloud for further processing. The IoT devices are moving computing to the edge. As drones grow to be an integral part of these operations (in Agriculture, Public Safety, Solar Farms, Energy & Mining) computational power within the drones will continue to improve as well.

Not every operation will work where IoT devices transmit only exception data to cloud. There are operations where data stream needs to be recorded as-is or in some form of aggregation. In such cases Fog computing might not work in the sense of capture, process and store. IoT devices will capture, process and then syndicate with a drone which in turn will then transmit data to cloud. Such use cases are very real where there is limited bandwidth and weak wireless signals.

Greater adoption of such advances might take time, it is the visionary CIOs, and Operating Executives who can carve the path where IoT devices, drones, Fog & Cloud computing converge on a technology enabled by Big Data + RDBMS stack. I believe that’s what the OpenFog Consortium ( will achieve. Gartner says, “To build competitive advantage and cut costs, CIOs and other IT leaders need to constantly adapt their strategies to leverage cloud capabilities.” (1)


(1) Predicts 2016: Cloud Computing to Drive Digital Business, December 2015

(2) Survey Analysis: Cloud Adoption Across Vertical Industries Exhibits More Similarities Than Differences, Febraury 2015

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