The new norm in data management: Complexity, fluidity, constant change | #splunkconf
by Gabriel Pesek | Sep 22, 2015
Machine learning, Big Data, micro-services and IT transformation were just a few of the many topics covered by Splunk, Inc.’s VP of IT Ops Rick Fitz in an interview with John Furrier and George Gilbert, cohosts of theCUBE, from the SiliconANGLE Media team, during Splunk .conf 2015.
From operations as small as individual Coca-Cola vending machines to the interpretation of international sales data, Splunk’s customers have been eager to make use of the software’s possibilities.
‘Complexity keeps going up’
Fitz described the main motivation for two customers who had recently made the move to Splunk as being “give me these logs’ … literally manually collecting log information,” and how the data representations offered by Splunk had helped simplify this task to a major degree.
With diverse functionality helping to give better insight into the formulation of key performance indicators, analyze time-series metric data, security operations and IT service intelligence, Splunk’s streamlining of tedious analysis, along with its use of machine learning to pick out patterns that might slip by standard examination, has customers taking new approaches to common data.
‘More solution capabilities’
Mr. Fitz also emphasized a point that has been visited and revisited by others at the Splunk .conf2015 event, that of flexibility.
“[Customers] often use Splunk as a data fabric within their organizations, and they’ll pull data from all sorts of sources,” he noted, with the resultant combinations of this data yielding new discoveries and implications for each customer. For Splunk, these are exciting business opportunities.
‘Things are ephemeral’
“Complexity, fluidity, constant change – it’s just the new norm,” Fitz stated. However, in looking to Splunk’s future, he felt that such change would work to the company’s benefit. While the adoption of Splunk and its data services is a journey that most customers “aren’t taking overnight,” the Internet of Things and similar tech developments will only accelerate the need to not just handle, but also understand, all of the incoming statistics and changes.