Flying faster with Twitter Heron

We are happy to have Karthik Ramasam (https://www.linkedin.com/in/kramasamy)y from Twitter (http://twitter.com) share the reasons why Twitter has moved from Storm to Heron. Heron is now the de facto stream data processing engine inside Twitter. Karthik will share his experiences of running Heron in production.

Special thanks to Quixey for organizing our venue and sponsoring our food and drinks. Hope to see many of you there!

Parking: please consult this website (http://mountainviewdowntown.com/parking-map/) for parking information. More information is given on the bottom of this page.

Schedule

6:30 - 7:00pm Social (food + beer served)
7:00 - 8:00pm Talk
8:00 - 8:30pm Social

Talk description:

Storm (https://github.com/apache/storm) has long served as the main platform for real-time analytics at Twitter (https://twitter.com/). However, as the scale of data being processed in real- time at Twitter has increased, along with an increase in the diversity and the number of use cases, many limitations of Storm have become apparent. Twitter engineers need a system that scales better, has better debug-ability, has better performance, and is easier to manage – all while working in a shared cluster infrastructure. This talk will present the design and implementation of the new system, called Heron (https://blog.twitter.com/2015/flying-faster-with-twitter-heron).

About the speaker:

Karthik Ramasamy (https://www.linkedin.com/in/kramasamy) is the engineering manager and technical lead for Real Time Analytics at Twitter. He has two decades of experience working in parallel databases, big data infrastructure and networking. He cofounded Locomatix, a company that specializes in real time streaming processing on Hadoop and Cassandra using SQL that was acquired by Twitter. Before Locomatix, he had a brief stint with Greenplum where he worked on parallel query scheduling. Greenplum was eventually acquired by EMC for more than $300M. Prior to Greenplum, Karthik was at Juniper Networks where he designed and delivered platforms, protocols, databases and high availability solutions for network routers that are widely deployed in the Internet. Before joining Juniper at University of Wisconsin, he worked extensively in parallel database systems, query processing, scale out technologies, storage engine and online analytical systems.

He is the author of several publications, patents and one of the best selling books "Network Routing: Algorithms, Protocols and Architectures." He has a Ph.D. in Computer Science from UW Madison with a focus on databases.

Parking:

http://mountainviewdowntown.com/parking-map/

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