How not to screw up when scaling processing from 1 country to 33

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How did we scale data processing with tens of machine learning models, working only for the Ukrainian market, in 33 countries?

  • Splitted monoliths, responsible for queue management and intellectual processing, to independent microservices
  • Unified codebase for individual data processing algorithms in different countries
  • Got rid off queues in mysql
  • Automated services deploy
  • Set up services discovery
  • Integrated load testing
  • Made reliable processing of thousands of events per day
Danil Topchii
Technical founder
  • Technical founder
  • More than 7 years of experience in startups
  • Passed the two largest VC accelerators – Entrepreneur First and Antler
  • Author of the podcast "Potestim in progress"
  • Speaker at conferences
  • Generative AI startup consultant
  • Linkedin
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