REDEFINING DATA CENTRES
Express Computer|March 2020
A look at how some of India's leading organisations are heralding transformational changes in their data centre operations
Abhishek Raval

SOFTWARE DEFINED TECH CAN REDUCE DATA CENTRE COSTS BY OVER 50% AT ONGC

ONGC has undertaken a major data centre transformation and consolidation exercise, which includes adoption of a software-defined framework. Dharam Raj, CIO, ONGC shares the data centre transformation story of the leading PSU

ONGC is the most profitable PSU and the business involves a heavy technology dependency. The data centre is the heart of keeping the IT systems available at all times.

The data centre transformation story at ONGC began in 2012 with server virtualisation. It provided with the necessary operating flexibility, reduction in the number of machines and thus in cost reduction. “We have one of the largest SAP application suite running in the data centre. VMware provided the virtualisation layer and HPE is our hardware partner,” informs Dharam Raj, CIO, ONGC. Virtualisation – a step towards becoming software-defined

ONGC has also virtualised the network. Moreover, the company invited one of the largest tenders in the storage space (over 500TB for the ERP data centre), taking the flexible capacity model i.e pay-per-use. “This is the largest such contract of its type for a captive data centre in India. We have partnered with HPE for a multiyear contract. This solution (with all-flash storage) will have a software-defined environment. It will consolidate the storage units across data centres and will also take in data residing in the operational technologies like SCADA,” says Raj. Usually, the data residing in the OT systems in the companies remain isolated and it’s only used for accounting purposes. The need is to extract business context from the OT systems.

The all-flash storage is AI friendly, “The advantage with all-flash storage is it makes analytics, AI and ML operations very smooth. The disk and other storage systems will not be able to deliver the same performance when cleaning the data and also running AI, ML on it,” states Raj.

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