Using Juju to deploy a LexisNexis HPCC Systems cluster

HPCC Systems hosted an internship this year that included a project to develop Juju charms to simplify the development of the platform. The interns recently gave wrap up presentations which have been posted online. Juju content begins at 7:37.


About the speaker:

From the talk description:

Yash is a student at the University of Mumbai, studying for a Bachelor of Engineering (Computer Engineering). Yash joined the HPCC Systems team in 2019 to work on a project titles Cluster Deployment with Juju charm. The aim of this project is to write reactive charms using the charm helper framework along with tests in amulet. Previously, Yash has worked as an intern with the open mainframe project porting Kata Containers to the mainframe platform. His work was presented at the Open Source Summit EU held in October 2018 in a joint talk with the other interns. He has also worked on the development of a content management system at the VES Institute Of Technology, He has been ranked 280 in TCS Codevita, a competitive programming competition, in 2017.

What is HPCC Systems?

From their introductory whitepaper:

LexisNexis Risk Solutions, an industry leader in data content, data aggregation, and information services, independently developed and implemented the HPCC Systems platform as a solution for its own data-intensive computing requirements. In a similar manner to Hadoop (the open source implementation of MapReduce), the LexisNexis approach also uses commodity clusters of hardware running the Linux operating system and includes additional system software and middleware components to provide a complete and comprehensive job execution environment and distributed query and filesystem support needed for data-intensive computing.