Apache Kafka® and Stream Processing at Pinterest

Presented by

Liquan Pei, Software Engineer + Boyang Chen, Software Engineer + Shawn Nguyen, Platform Engineer - Pinterest

About this talk

Apache Kafka® is widely used at Pinterest to power the recommendation systems for both organic and promoted content to its 200+ million monthly active users. With the recent adoption of the Confluent Go client and Kafka Streams, Pinterest has experienced significantly improved system stability and performance of its Kafka clients and real-time processing framework, as well as improved scalability and lower maintenance costs. In this talk, members of the Pinterest team: -Share details of their results -Offer lessons learned from their Confluent Go client migration -Discuss their use cases for adopting Kafka Streams
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Confluent is building the foundational platform for data in motion. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.