Containers offer a new, simplified way to deploy and operate databases. But the approach brings with it a host of challenges, including how to manage state and migrate data between environments. In this episode of Pivotal Insights, SnappyData's Jags Ramnarayan joins Jeff and Dormain to talk through the promise and perils of containerized databases. They also chat about the evolving role of the data engineer and how data professionals fit into the cloud-native organizational structure.
Show Notes
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Visit http://pivotal.io/podcasts for show notes and other episodes.
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Download the episode and check us out on Soundcloud, subscribe to the feed directly, or on iTunes to have it automatically downloaded for you.
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Twitter: @jeffreyfkelly, @dormaindrewitz, @snappydata
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Feedback: podcast@pivotal.io
News & Resources
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Check out this video presentation on how to run SnappyData on PKS hosted by Jags himself!
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Read this thought-provoking post on what cloud-native data is and if it even matters by Pivotal's Richard Seroter.
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Don't forget to register for SpringOne Platform 2018 taking place in Washington, D.C., September 24-27, where there'll be more great content on cloud-native data.
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