How ironSource handles 500K events per second with a data lake

Modern applications generate massive streaming data, challenging organizations to maintain scalable, cost-effective infrastructure. Traditional databases often fail as data volumes grow.

This case study examines how ironSource tackled these issues with a data lake architecture processing 500,000 events per second and 20 billion daily. Key outcomes include:

· 70% reduction in infrastructure, workforce, and licensing costs
· Greater self-sufficiency for data consumers with less DevOps reliance
· 9x scale increase with improved data freshness and query performance

Discover how ironSource built a resilient, flexible architecture supporting business processes and empowering teams in this case study.