Cloud is the new normal. CtrlS Datacenters’ Founder & CEO, Sridhar Pinnapureddy in an exclsuive interview to Dataquest takes a deep dive into the state of enterprise IT infrastructure today, the role of Datcenters and how ‘Community Cloud’ can offer an agile and cost effective delivery of IT. Excerpts:
What ails it infrastructures today and how ‘on demand; will usher in the much needed panacea?
With globalisation and rapid developments in the economy and consumer behaviour there is ever increasing need for businesses to gain the desired competitive advantage to stay ahead of competition. The IT infrastructure is required to align with and support the fast changing business needs including the ability to ‘Speed-To-Market’, achieve security and compliance, and optimize IT resources. Moreover, skill shortage, maintaining availability of IT infrastructure round the clock (based on business needs) are other challenges faced by the businesses today as banks, ecommerce, government applications are required to be available round the clock to their respective customer groups. Now, if we were to take an example of retail industry, the festive season witnesses a huge sales of products requiring very high IT compute infrastructure as the number of transactions are very high compared to a non-seasonal sale.
This requires perhaps, 5X the infrastructure during the festive season, which cannot be met by conventional means of IT procurement (as it would take months to procure hardware and deploy the applications), however, with on-demand (cloud) infrastructure, it can be achieved in few days, as cloud provides has the ability to scale and de-scale on demand. In the case of retail industry, they can now purchase on-demand cloud infrastructure before the sale season and de-scale the infrastructure soon after the sale is over. Hence, cloud addresses business complexities with ease.
How do you see the trend of ‘computing on demand’ manifesting as Cloud and how it has changed the very taxonomy of it infrastructure across the world?
この記事は DataQuest の May 2018 版に掲載されています。
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この記事は DataQuest の May 2018 版に掲載されています。
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