How Much DevOps Data Collection Is Enough?

September 20th, 2017 · 42 mins 35 secs

About this Episode

With the continued evolution of machine learning, organizations may no longer need an absolute strategy for which data they'll collect from their servers, with respect to performance, and which data they leave behind. This from Chief Technology Advocate Andi Mann of Splunk, easily the fastest growing data collection platform in use by DevOps professionals today.

Mann was joined at PagerDuty Summit 2017 by JT Giri, CEO of cloud migration consultancy nClouds. JT deals with organizations making a move to Amazon, and comparing Amazon's native features to what they can achieve in hybrid cloud deployments with Kubernetes and open source. More and more, these two worlds are meshing with one another, and the differences between the two platforms are less clear cut.

Watch on YouTube: https://youtu.be/1sUvV393SW0

Episode Links

  • How Much DevOps Data Collection Is Enough? — With the continued evolution of machine learning, organizations may no longer need an absolute strategy for which data they’ll collect from their servers, with respect to performance, notes Chief Technology Advocate Andi Mann of Splunk, which offers a data collection platform in use by many DevOps professionals today, speaking in this latest edition of The New Stack Makers podcast.