Time: 3:00 PM
Room: ASC C
Handle Large Data on Edge at Scale
Does your system need to handle millions of transactions per second (TPS) and traverse hundreds of millions of data points with millisecond response times? Discover how we optimized and aggregated large data sets using open-source technologies. Our architecture leverages Google Flatbuffers for efficient binary data, Kafka for edge delivery, Target's open-source Native Memory Allocator, and Hazelcast for caching.
Join us to explore key architectural insights and learn how to build high-performance systems. We'll cover design considerations for achieving response times in milliseconds, aggregating millions of key/value pairs on the edge, transporting GBs of JSON data over Kafka, and storing gigabytes of data using Native Memory Allocator.
Ashutosh Abhinav
Director of Engineering
Target
Ashutosh Abhinav (Ashu) is a Director of Engineering at Target, where he has been part of the company’s digital transformation journey since 2014. Ashu has worked across a wide range of initiatives, from Front End and Aggregator Services to Mobile Platforms and Order Fulfillment. He currently leads a team focused on providing innovative fulfillment options for Target guests. A full-stack developer at heart, Ashu is passionate about mentoring, problem-solving, and designing scalable, impactful systems. When he’s not immersed in tech, he might be acting, dancing or spending time with his family.