Na Yang is a member of technical stuff at PayPal, where she focuses on building a scalable streaming infrastructure platform. Previously, she built various big data and distributed systems at MapR and Quova. Outside of work, she likes to spend time hiking with her kids.
PayPal is one of the biggest Kafka users in the industry; it manages and maintains over 40 production Kafka clusters in three geodistributed data centers and supports 400 billion Kafka messages a day. We will explore the management and monitoring PayPal applies to Kafka, from client-perceived statistics to configuration management, failover, and data loss auditing.