The Fifth Elephant 2013

An Event on Big Data and Cloud Computing

Build A Cloud With Apache CloudStack For Big Data

Submitted by Shanker Balan (@shankerbalan) on Friday, 29 March 2013

videocam_off

Technical level

Intermediate

Section

Workshops

Status

Submitted

Vote on this proposal

Login to vote

Total votes:  +12

Objective

To build a Proof-Of-Concept IaaS cloud that can power big data workloads using Apache CloudStack Cloud Management Platform and Apache Hadoop.

Description

Apache CloudStack (ACS) is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.

In this workshop, we will design and build Proof-Of-Concept IaaS cloud that can power big data workloads using Apache CloudStack Cloud Management Platform and Apache Hadoop.

Requirements

  • Prior experience with Apache Hadoop systems administration and operations
  • Experience with Automated OS and Application Installations
  • Storage and Network Experience
  • Functional understanding of clouds is a big plus

Speaker bio

Shanker Balan is Managing Consultant of ShapeBlue India, a globally leading consultancy, providing strategy, design and implementation of IaaS/PaaS cloud platforms for service providers and enterprises.

ShapeBlue have designed some of the worlds highest profile clouds and consulted on go-to-market of cloud services, user experience and process integration.

Previously, he was the Lead Operations Architect at InMobi, one of the largest mobile advertising networks in the world.

Links

Slides

http://www.slideshare.net/sebastiengoasguen/cloudstack-and-bigdata

Comments

  • 1
    Govind Kanshi (@govindsk) 5 years ago

    Dear Shanker - Thanks for suggesting. I think we need to amplify the messaging a bit :). I am assuming it is not the same deck as attached and you would start with - why/how big data needs availability at various levels(infra/app), elastic "systems- compute/storage". And how these and other abilities like monitoring can be "provisioned" for production/testing etc with ease. You can also take a practical example of one of the hadoop dist or nosql or cassandra or even search to create/showcase "x" as service. We all know it is far more difficult to QoS, multitenancy, perf improvements in generic "rest based " backend. You can touch upon things which can be solved in elegant ways using the offering.

  • 1
    Shanker Balan (@shankerbalan) Proposer 5 years ago

    Hi Govind,

    Thanks for your feedback.

    Yes, the deck that was linked to is only a placeholder. The workshop will be a follow up a session on Private Clouds and Big Data that I will be submitting soonish.

    But please be aware that this workshop is focused around Big Data "operators" and not Big Data "developers".

Login with Twitter or Google to leave a comment