Running Your Database On Kubernetes With KubeDB

Apr 29, 2019

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Summary

Kubernetes is a driving force in the renaissance around deploying and running applications. However, managing the database layer is still a separate concern. The KubeDB project was created as a way of providing a simple mechanism for running your storage system in the same platform as your application. In this episode Tamal Saha explains how the KubeDB project got started, why you might want to run your database with Kubernetes, and how to get started. He also covers some of the challenges of managing stateful services in Kubernetes and how the fast pace of the community has contributed to the evolution of KubeDB. If you are at any stage of a Kubernetes implementation, or just thinking about it, this is definitely worth a listen to get some perspective on how to leverage it for your entire application stack.

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Your host is Tobias Macey and today I’m interviewing Tamal Saha about KubeDB, a project focused on making running production-grade databases easy on Kubernetes

Interview

Introduction
How did you get involved in the area of data management?
Can you start by explaining what KubeDB is and how the project got started?
What are the main challenges associated with running a stateful system on top of Kubernetes?
- Why would someone want to run their database on a container platform rather than on a dedicated instance or with a hosted service?
Can you describe how KubeDB is implemented and how that has evolved since you first started working on it?
Can you talk through how KubeDB simplifies the process of deploying and maintaining databases?
What is involved in adding support for a new database?
- How do the requirements change for systems that are natively clustered?
How does KubeDB help with maintenance processes around upgrading existing databases to newer versions?
How does the work that you are doing on KubeDB compare to what is available in StorageOS?
- Are there any other projects that are targeting similar goals?
What have you found to be the most interesting/challenging/unexpected aspects of building KubeDB?
What do you have planned for the future of the project?

Contact Info

LinkedIn
@tsaha on Twitter
Email
tamalsaha on GitHub

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?