Build resilient systems at scale
May 27–29, 2015 • Santa Clara, CA
Karthik Ramasamy

Karthik Ramasamy
Cofounder, 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); 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.

Sessions

1:45pm–2:25pm Thursday, 05/28/2015
Location: Ballroom CD
Arun Kejariwal (MZ), Sailesh Mittal (Twitter), Karthik Ramasamy (Streamlio)
Average rating: **...
(2.95, 20 ratings)
Data-driven decision making rests, in part, on availability of high fidelity data. Presence of anomalies limits the use of data on an “as is” basis. Automatic anomaly detection is key to providing high fidelity data. We present a statistically rigorous method for automatic anomaly detection, which leverages correlations between multiple time series. Read more.