Digital Nibbles   /     Cloud Orchestration and Data Gravity – Digital Nibbles Podcast episode 60

Summary

Allyson and Reuven are finally reunited this week for a new episode with a couple of great guests. First up, Michael Crandell (@michaelcrandell), the CEO of RightScale stops by to talk about cloud management in the cloud environment and bridging services (servers/network/storage) to run applications. He also weighs in on the PaaS vs. IaaS debate. Then Dave McCrory (@mccrory), the CTO of Basho, discusses distributed database technology and also the concept of Data Gravity – thinking about data as if it were a planet that builds mass and attracts additional Services and Applications. When data is large enough, it’s virtually impossible to move. Show timeline: 0:00 – Introductions and News of the Week9:17 – Interview with Michael Crandell23:38 – Interview with Dave McCrory36:52 – Wrap up

Subtitle
Allyson and Reuven are finally reunited this week for a new episode with a couple of great guests. First up, Michael Crandell (@michaelcrandell), the CEO of Rig
Duration
00:42:00
Publishing date
2014-06-12 22:00
Link
http://www.blogtalkradio.com/digitalnibbles/2014/06/12/cloud-orchestration-and-data-gravity-digital-nibbles-podcast-episode-60
Contributors
  Digital Nibbles
author  
Enclosures
http://www.blogtalkradio.com/digitalnibbles/2014/06/12/cloud-orchestration-and-data-gravity-digital-nibbles-podcast-episode-60.mp3
audio/mpeg

Shownotes

Allyson and Reuven are finally reunited this week for a new episode with a couple of great guests. First up, Michael Crandell (@michaelcrandell), the CEO of RightScale stops by to talk about cloud management in the cloud environment and bridging services (servers/network/storage) to run applications. He also weighs in on the PaaS vs. IaaS debate. Then Dave McCrory (@mccrory), the CTO of Basho, discusses distributed database technology and also the concept of Data Gravity – thinking about data as if it were a planet that builds mass and attracts additional Services and Applications. When data is large enough, it’s virtually impossible to move. Show timeline: 0:00 – Introductions and News of the Week9:17 – Interview with Michael Crandell23:38 – Interview with Dave McCrory36:52 – Wrap up