Taming Operations in the Apache Hadoop Ecosystem

The Apache Hadoop stack includes many distributed storage and processing systems, running on clusters ranging from tens to thousands of nodes. At Cloudera, we’ve been supporting tens of thousands of nodes in hundreds of our customers’ production clusters with diverse use cases. For five years, we have been navigating paths for sys admins to manage, tune, and debug the systems. We'll describe a methodology for debugging and tuning between the different layers (app, hadoop, jvm, kernel, networking). We’ll also talk about new tools and subsystems included in our operational best practices to keep your clusters always up, running, and secure.

Kathleen Ting (@kate_ting) is currently a technical account manager at Cloudera where she helps strategic customers deploy and use the Apache Hadoop ecosystem in production. She's a frequent conference speaker, has contributed to several projects in the open source community, and is a committer and PMC member on Apache Sqoop. Kathleen is also a co-author of O’Reilly’s Apache Sqoop Cookbook.

Jonathan Hsieh is a Software Engineer and HBase Team Tech Lead at Cloudera. He is an Apache HBase committer and PMC member and a committer and founder of Apache Flume. He has spoken at many conferences including Hadoop World, Hadoop Summit, HBaseCon and the USENIX NSDI Conference. Jonathan has an M.S. in Computer Science from University of Washington, an M.S. and a B.S. in Electrical and Computer Engineering from Carnegie Mellon University.