Serverless streaming architectures and algorithms for the enterprise

Arun Kejariwal is an independent lead engineer. Previously, he was he was a statistical learning principal at Machine Zone (MZ), where he led a team of top-tier researchers and worked on research and development of novel techniques for install-and-click fraud detection and assessing the efficacy of TV campaigns and optimization of marketing campaigns, and his team built novel methods for bot detection, intrusion detection, and real-time anomaly detection; and he developed and open-sourced techniques for anomaly detection and breakout detection at Twitter. His research includes the development of practical and statistically rigorous techniques and methodologies to deliver high performance, availability, and scalability in large-scale distributed clusters. Some of the techniques he helped develop have been presented at international conferences and published in peer-reviewed journals.

Karthik Ramasamy is the cofounder of Streamlio, a company building next-generation real-time processing engines. Karthik has more than two decades of experience working in parallel databases, big data infrastructure, and networking. Previously, he was engineering manager and technical lead for real-time analytics at Twitter, where he was the cocreator of Heron; cofounded Locomatix, a company that specialized in real-time stream processing on Hadoop and Cassandra using SQL (acquired by Twitter); briefly worked on parallel query scheduling at Greenplum (acquired by EMC for more than $300M); and designed and delivered platforms, protocols, databases, and high-availability solutions for network routers at Juniper Networks. He is the author of several patents, publications, and one best-selling book, Network Routing: Algorithms, Protocols, and Architectures. Karthik holds a PhD in computer science from the University of Wisconsin-Madison with a focus on databases, where he worked extensively in parallel database systems, query processing, scale-out technologies, storage engines, and online analytical systems. Several of these research projects were spun out as a company later acquired by Teradata.

Anurag Khandelwal is an assistant professor in the De­part­ment of Com­puter Sci­ence at Yale Uni­versity. Previously, Anurag did a short post-doc at Cor­nell Tech where he worked with Tom Risten­part and Rachit Agar­wal. He re­ceived his PhD from the Uni­versity of Cali­for­nia, Berke­ley, at the RI­SELab, where he was ad­vised by Ion Stoica. Anurag earned his BTech in com­puter sci­ence and en­gin­eer­ing from the In­dian In­sti­tute of Tech­no­logy, Khar­ag­pur. His research interests span distributed systems, networking, and algorithms. In particular, his research focuses on addressing core challenges in distributed systems through novel algorithm and data structure design. During his PhD, Anurag built large-scale data-intensive systems such as Succinct and Confluo, that led to deployments in several production clusters.

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