Case Study: Leading Cybersecurity Provider achieves 6.8M events-per-minute scalable query processing and rapid feature delivery with Altoros

Building a Query Microservice to Process Millions of Events per Minute

Altoros was engaged by a USA-based cybersecurity provider that had built a prototype platform to monitor API behavior, data flows, and traffic patterns. Facing tight Series A timelines, the customer needed a scalable data query microservice and a visualization UI to process massive, real-time monitoring across hundreds of metrics while ensuring stable performance during a move to microservices and cloud.

Altoros implemented an event-driven pipeline using Apache Kafka and Apache Druid, delivering a data query microservice and comprehensive UI in two months; the solution ingests 6.8 million events per minute (≈300,000 events/sec peak), supports 300 monitored metrics with 86 filter sorts, provides 1–100 risk scoring and time-window analysis, and enabled the startup to ship features every 2–3 weeks—positioning it for up to $100M in expected Series A funding.