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went from generating 3.5 billion to more than 5 billion events daily .
“ As Paytm adoption grew with more customers across new verticals , our Druid deployment was required to handle billions of events every day ,” Maurya said . “ But in order to keep up with our Growth Team ’ s more sophisticated analytic queries , DevOps continuously optimized and tuned the Druid cluster , limiting their ability to build new code .”
Solution : Reliable and worry-free operations with Imply
A key aspect of any open-source software ’ s performance is maintenance . Paytm quickly found the process of operating and tuning its Druid cluster consumed a significant number of engineering hours each week .
In addition to reducing infrastructure cost , the Paytm team needed to minimize the maintenance and work required to manage a distributed system . Maurya said making the move from an open-source Druid deployment to Imply helped optimize Paytm ’ s Druid system , enabling the team to redirect valuable engineering resources toward other business initiatives .
“[ Our engineers ] can concentrate more on the other pipelines and spend more time thinking about where data will be flowing , rather than how data will be stored and how to optimize performance on the data store end ,” Maurya said .
Paytm now runs the enterprise distribution of Apache Druid-delivered by Imply – which is consistently fast , reliable and requires zero DevOps resources to manage . Backed by the deep Druid expertise and
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