Intelligent CIO APAC Issue 29 | Page 51

COUNTRY FOCUS : INDIA world-class support of Imply , the Paytm team is able to focus on scaling other aspects of its data pipeline .
Ravi Maurya , Technical Lead at Paytm
“ We don ’ t spend a single minute fixing anything related to Druid ,” Maurya added . “ No DevOps is involved in making any changes to the cluster , upgrading a node , or adding a property to a specific node . That has reduced a lot of effort from our side .”
Results : Increased performance , effortless scalability
With Druid and Imply , Paytm has been able to drastically reduce its operational costs while enabling a dynamic , interactive data experience for the Growth Team across petabytes of raw data .
Along with implementing Imply , Paytm engaged Imply Professional Services to recommend the best ways to maintain consistent performance on Druid while controlling costs . The Professional Services team quickly determined that Paytm ’ s AWS Virtual Private Cloud ( VPC ) resources were overprovisioned .
“ With Imply ’ s expertise , we quickly resized our AWS VPC and reduced our infrastructure costs by half , more than covering the cost of Imply Enterprise ,” Maurya said . “ Even better , with Imply , cluster operations became point and click , requiring
zero DevOps involvement , freeing up 12 hours of engineering hours a week .”
Paytm also gained critical performance improvements , able to query data sets 10 times faster ( and sometimes 35 times faster ) than before , with latency now at 100 milliseconds or less . This allows the Growth Team to explore data in real-time , and help propel Paytm ’ s presence in new verticals and use cases . p
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