This session walks through the basics of how data is represented in Kubernetes, from the grounds up and explores how databases - as a top consumers of data in this space - are handling multi-node and multi-cluster operations. we will review how operators help and why having a data layer is important when building a kubernetes-native application.
KEY TAKE-AWAYS FROM THE TALK
- Running Data on Kubernetes is fun and easy
- Running business critical workloads as Databases require a data layer to improve availability, scale and bursting.
- Multi cloud with Data is important for bursting and migrations