How To Connect Stateful Workloads Across Kubernetes Clusters

One of the biggest selling points of Apache Cassandra™ is its shared-nothing architecture, making it an ideal choice for deployments that span multiple physical data centers. So when our Cassandra as-a-service single-region offering reached maturity, we naturally started looking into offering it cross-region and cross-cloud. One of the biggest challenges in providing a solution that spans multiple regions and clouds is correctly configuring the network so that Cassandra nodes in different data centers can communicate with each other successfully, even as individual nodes are added, replaced, or removed. 

From the start of the cloud journey at DataStax, we selected Kubernetes as our orchestration platform, so our search for a networking solution started there. While we’ve benefited immensely from the ecosystem and have our share of war stories, this time we chose to forge our own path, landing on ad-hoc overlay virtual application networks (how’s that for a buzzword soup?). In this post, we’ll go over how we arrived at our solution, its technical overview, and a hands-on example with the Cassandra operator.

Getting Started With Rancher

What is Rancher? And how does it make Kubernetes crazy easy? Rancher is a complete Kubernetes stack that's easy to navigate — whether it's physical servers on-prem or in the cloud. This Refcard helps you get started with Rancher — from zero to fully production-ready.