Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Apache Hadoop operations for production systems

Jayesh Seshadri (Cloudera), Justin Hancock (Cloudera), Mark Samson (Cloudera), Wellington Chevreuil (Cloudera )
9:00–17:00 Wednesday, 1/06/2016
Enterprise adoption
Location: Capital Suite 10/11 Level: Intermediate
Average rating: *****
(5.00, 4 ratings)

Prerequisite knowledge

Attendees should have a basic understanding of the Hadoop ecosystem and system administration.

Materials or downloads needed in advance

Attendees need a laptop with Internet access, a web browser, and a ssh client installed.


Hadoop is emerging as the standard for big data processing and analytics. However, as usage of the Hadoop clusters grow, so do the demands of managing and monitoring these systems. Jayesh Seshadri, Justin Hancock, Mark Samson, and Wellington Chevreuil offer a full-day deep dive into all phases of successfully managing Hadoop clusters—from installation to configuration management, service monitoring, troubleshooting, and support integration—with an emphasis on production systems. Jayesh, Justin, Mark, and Wellington review tooling capabilities, highlighting the ones that have been most helpful to users, and share some best practices and lessons learned from users who depend on Hadoop as a business-critical system.

Topics include:

  • Installation: hardware considerations, OS prerequisites, sanity testing, and security considerations
  • Configuration: mechanics, key configurations, and resource management
  • Troubleshooting: managing, troubleshooting, and debugging Hadoop clusters and applications
  • Enterprise considerations: scaling, logs, and failure testing
Photo of Jayesh Seshadri

Jayesh Seshadri


Jayesh Seshadri is currently a technical lead for Cloudera Manager and Cloudera Backup and Disaster Recovery. Previously, Jayesh designed highly scalable cloud management systems at VeloCloud Networks and led several engineering initiatives for vCenter at VMware. Jayesh has a master’s degree in computer sciences from the University of Texas at Austin.

Photo of Justin Hancock

Justin Hancock


Justin Hancock has worked in the technology industry for 20 years and has worked with Hadoop and related technologies for the last 6 years as a developer, architect, and support engineer and manager. Justin currently works at Cloudera as technical customer success manager, assisting Cloudera’s largest customers in EMEA with their Hadoop deployments across financial services, pharmaceuticals, government, and telecommunications.

Photo of Mark Samson

Mark Samson


Mark Samson is a principal systems engineer at Cloudera, helping customers solve their big data problems using enterprise data hubs based on Hadoop. Mark has 17 years’ experience working with big data and information management software in technical sales, service delivery, and support roles.

Photo of Wellington Chevreuil

Wellington Chevreuil


Wellington Chevreuil has more than 12 years’ experience in the IT industry, mainly with SW development and support, and has been dealing with Hadoop and big data since 2011. Wellington currently works at Cloudera’s customer operations organization, helping companies from different sectors succeed with their big data deployments.

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Amit Cohen
1/06/2016 13:16 BST

How frequent is a job/program execution failure due to lack of resources in a certain moment and if any way to prevent it in advance?