Kubernetes Persistent Data Challenges – AZ, Region and Multi-Clou... Chris Milsted & Patrick McFadin

Kubernetes Persistent Data Challenges – AZ, Region and Multi-Cloud Patterns - Chris Milsted, Ondat & Patrick McFadin, DataStax

In this talk we are going to explore the patterns for building resilient applications with data persistence requirements on Kubernetes. We will be discussing deploying stateful workloads like Cassandra in Kubernetes using operators, with demos and examples at each stage using native objects like PVCs, dynamic provisioning and the k8ssandra operator. We will also be providing a sneak peek of some of the multi-cluster challenges with Kubernetes and Kube-Fed. Four architectural patterns will be covered with worked examples: The first pattern will be within an AZ, how to work with PVs. The next pattern will be spanning three AZs, and how to embrace or work around PV/AZ affinity constraints. The next pattern is three AZs and two regions within a single provider. Here we start to see physical limitations such as the speed of light begin to impinge on our patterns. Lastly, we move to two providers and hybrid-cloud patterns, leveraging operators to deliver our sample Cassandra workload.