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The Cloudcast #175 - Machine Data & DevOps

· DevOps Zone

Discover how to optimize your DevOps workflows with our cloud-based automated testing infrastructure, brought to you in partnership with Sauce Labs

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Date: January 5, 2015

By: Aaron Delp and Brian Gracely

Description: Aaron and Josh Atwell (@Josh_Atwell) talk with Hal Rottenberg (@halr9000, Developer Evangelist @Splunk) about how Machine Data is impacting IT operations, and integrating with modern DevOps teams. They also talk about how to empower developers with greater application knowledge from operational insight. Music Credit: Nine Inch Nails (www.nin.com)


Topic 1 - Hal - Tell us a little about yourself. Josh and I have known you for years in the virtualization community. How did you make the transition over to where you are today?
Topic 2 - Machine Data… Tell us about it, why it is important and what can you do with it.
Topic 3 - I see a few different use cases here, troubleshooting, monitoring, real time visibility into operations. I see two different ways to be “popular here”, what are the scenarios that attract folks to Splunk initially? As a follow up what are the real reasons and use cases that folks stick around (and become customers)
Topic 4 - Josh - Tell us about your implementation and experience at Cisco. You configured and operated a pretty massive setup back in the day.
Topic 5 - Developer Evangelism?
Topic 6 - How has the change to DevOps and microservices architectures affected the customers you talk too? Will we reach a tipping point anytime soon (going from emerging architecture to mainstream)

Download “The DevOps Journey - From Waterfall to Continuous Delivery” to learn learn about the importance of integrating automated testing into the DevOps workflow, brought to you in partnership with Sauce Labs.

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Published at DZone with permission of Brian Gracely, DZone MVB. See the original article here.

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