Stateful Workloads in Kubernetes: A Deep Dive - Kaslin Fields & Michelle Au, Google

Stateful Workloads in Kubernetes: A Deep Dive - Kaslin Fields & Michelle Au, Google

As a platform for distributed computing, Kubernetes enables users to run their workloads across machines. However data has gravity, and when workloads in Kubernetes have to share data with other applications, managing the application’s requirements can get more tricky. In this talk, we will explore what "Stateful" means from Kubernetes' perspective. We will discuss the different types of stateful workloads, and the challenges of deploying them on Kubernetes. We will also look at the features that exist in Kubernetes to support stateful workloads, as well as the features that are in the works. Key Takeaways: What is a stateful workload from Kubernetes’ perspective? What are the challenges of deploying stateful workloads on Kubernetes? What features exist in Kubernetes to support stateful workloads? What features are in the works to support stateful workloads better in the future?

[amitmitkar]

Are these slides publicly available somewhere?