Mar 15–18, 2020
Karthik Ramasamy

Karthik Ramasamy
Cofounder and CEO, Streamlio

@karthikz

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); worked briefly 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. He’s 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.

Sessions

1:30pm5:00pm Monday, March 16, 2020
Location: LL21B
Arun Kejariwal (Independent), Karthik Ramasamy (Streamlio), Anurag Khandelwal (Yale University)
Arun Kejariwal, Karthik Ramasamy, and Anurag Khandelwal walk you through the landscape of streaming systems for each stage of an end-to-end data processing pipeline—messaging, compute, and storage. You'll get an overview of the inception and growth of the serverless paradigm and explore Apache Pulsar, which provides native serverless support in the form of Pulsar functions. Read more.
5:05pm5:45pm Tuesday, March 17, 2020
Location: LL21 C
Karthik Ramasamy (Streamlio), Anand Madhavan (Narvar)
Narvar originally used a large collection of point technologies such as AWS Kinesis, Lambda, and Apache Kafka to satisfy its requirements for pub/sub messaging, message queuing, logging, and processing. Karthik Ramasamy and Anand Madhavan walk you through how Narvar moved away from using a slew of technologies and consolidating their use cases using Apache Pulsar. Read more.

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