As organizations process ever larger volumes of real time data, building a reliable streaming platform becomes a significant engineering challenge. In this session, Qinghui Xu shares Criteo’s experience operating Apache Flink at scale, covering the architectural decisions, operational lessons, and platform practices that enable large scale stream processing in production. Attendees will gain insight into the challenges of performance, reliability, and observability in distributed streaming systems, along with practical takeaways for teams running critical data workloads on Apache Flink.
Qinghui Xu is a Senior DevOps Engineer at Criteo, where he has spent nearly a decade building and operating large scale infrastructure. Prior to Criteo, he worked as a Software Engineer at Spark Archives. Qinghui holds engineering degrees from École Polytechnique and Télécom Paris, with a background spanning distributed systems, machine learning, and data-driven technologies.
