Running Enterprise Workloads in the Cloud

Running Enterprise Workloads in the Cloud

Wednesday, April 18
2:00 PM - 2:40 PM
Room I

Demand for cloud is through the roof. Cloud is turbo charging the Enterprise IT landscape with agility and flexibility. And now, discussions of cloud architecture dominate Enterprise IT. Cloud is enabling many ephemeral on-demand use cases which is a game changing opportunity for analytic workloads. But all of this comes with the challenges of running enterprise workloads in the cloud securely and with ease.

In this session, we will take you through Cloudbreak as a solution to simplify provisioning and managing enterprise workloads while providing an open and common experience for deploying workloads across clouds. We will discuss the challenges (and opportunities) to run enterprise workloads in the cloud and will go through how the latest from Cloudbreak enables enterprises to easily and securely run big data workloads. This includes deep-dive discussion on autoscaling, Ambari Blueprints, recipes, custom images, and enabling Kerberos -- which are all key capabilities for Enterprise deployments.

As a last topic we will discuss how we deployed and operate Cloudbreak as a Service internally which enables rapid cluster deployment for prototyping and testing purposes.

Presentation Video


Peter Darvasi
Cloudbreak Partner Engineer
Cloudbreak Partner Engineer at Hortonworks June 2016 - Present Technology Consultant at SAS Institute June 2011 - June 2016 Software Developer at Alerant Zrt. August 2009 - June 2011
Richard Doktorics
Staff Engineer
Senior Member of the Technical Staff at Hortonworks April 2015 - Present Senior Software Engineer at SequenceIQ February 2014 - April 2015 (1 year 3 months) Software Developer at EPAM Systems June 2012 - February 2014 (1 year 9 months) Developing web applications using the following technology stack: Spring (-JPA, -MVC, -Integration), Hibernate, JSP, JSF, jQuery Software Developer at NSN - Nokia Solutions and Networks January 2011 - June 2012 (1 year 6 months) Development of the analyze system for network elements (MSS, MGW).