Chris Bradford is a product manager at DataStax who's focus is on Kubernetes (K8s) and how users can utilize Cassandra in this fast moving project. He gives us some deep insights into how we got here and some important details on being successful when deploying Cassandra in your Kubernetes environment. We finish with some predictions on where the next 5-10 years look for cloud native databases.     &nbsp;

What you need to know to deploy Cassandra in Kubernetes? | Ep. 149 Distributed Data Show

As infrastructure engineers, we have plenty to do. Even with all the cool DevOps tooling out there helping us do more with less, we still have situations that demand our attention. Raghavendra Prabhu and Yelp has been working on this problem with their Kubernetes enabled tool, PaaSTA. Yelp is able to assemble stacks quickly to give developers the fast track to being productive. We have a great conversation about the future of Cassandra and Kubernetes and maybe you'll be convinced that the robot uprising may not be all bad.

Is self driving data infrastructure our future? | Ep. 150 Distributed Data Show

Russ Spitzer returns to the show to discuss the benefits of combining Cassandra and Spark, the new release of the DataStax Spark-Cassandra connector, and why the proprietary features that used to ship with DataStax Enterprise have now been merged into the open-source project. We also check in on the Spark 3.0 Beta and discuss the tradeoffs in various ways you can deploy Spark and Cassandra together.

Spark-Cassandra Connector 2.5 with Russ Spitzer | Ep. 151 Distributed Data Show

When will Cassandra 4.0 be ready? DataStax VP of Engineering Josh McKenzie joins Aleks Volochnev to discuss his background as a member of the Project Management Committee for Apache Cassandra and the community collaboration involved in delivering the next major release of our favorite open source database.

Road to Cassandra 4.0 with Josh McKenzie | Ep. 152 Distributed Data Show

Cedrick Lunven talks with Mark Paluch, Spring Data Lead at Vmware, about the origins of the Spring Framework, how he got involved with Spring Data, and the 3.0 release of the Spring Data Cassandra module, which is based on the DataStax Java Driver 4.x series.

Spring Data with Mark Paluch | Ep. 153 Distributed Data Show

The Distributed Data Podcast is your weekly source for the latest news and technical expertise to help you succeed in building large-scale distributed systems. Brought to you by the Developer Advocate team, we go in-depth with DataStax engineers and special guests from the broader data community. New episodes each Tuesday.

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