Scalable Databases on Kubernetes

Peter Mattis (@PeterMattis, Co-founder/CTO of @CockroachDB) talks about the evolution of scalable SQL databases, the challenges of globally scalable data management, how Kubernetes has evolved to manage stateful applications, and lessons learned running Kubernetes and CockroachDB. 

SHOW: 438

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SHOW NOTES:

• CockroachLabs Homepage
• CockroachDB - Scalable, survivable, SQL database 
• OperatorHub Homepage
• Peter Mattis on the Google Kubernetes Podcast

Topic 1 - Welcome to the show. Before we dive into our discussion, tell us a little bit about your background in working on scalable technologies. 

Topic 2 - Today we’re going to mash together a couple of popular (and complex) topics - the growing use-cases on Kubernetes, and the growing need to synchronize data for anywhere access. Let’s start with the data side of the equation - tell us about the basics of your creation, CockroachDB, and the challenges it solves.

Topic 3 - What are some of the use-cases that are driving more scalable SQL usage vs. more traditional SQL database models?

Topic 4 - When Kubernetes first got started, the focus was on scalable stateless (cloud-native) applications. How are you beginning to see the trend towards companies becoming more comfortable with stateful applications (e.g. databases) on Kubernetes?

Topic 5 - One of the new technologies that’s making it easier to get databases onto Kubernetes is “Operators”. CockroachLabs has been one of the leading platforms supporting this technology. Can you talk a little bit about your experience with Operators and how it images the way Kubernetes teams (developers or platform teams) about databases on Kubernetes.

Topic 6 - What are some of the lessons learned from deploying CockroachDB onto Kubernetes?

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