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From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)

Multiple clusters exist in most Kubernetes environments today, and number of clusters will increase overtime. The reasons for having multiple Kubernetes clusters are many, for example, overcoming scale limits, reducing complexity, geo separation, redundancy and having separate production, staging, and development environments. Once you have multiple K8S clusters, it can be useful to have the ability to easily move or duplicate workloads across these different clusters. Kubernetes does not have a native method to allow migration or duplication of workloads across clusters.

Fortunately, there are tools that provide this functionality. In this presentation we will explore the different uses cases for cross cluster migration, and what is involved, and how these migration tools work. We'll cover some popular uses cases, such as, Disaster Recovery, Test/Dev, and performance testing. Migration could entail moving the entire cluster, or individual workloads. The components that need to be moved would include configuration and resources stored in etcd, and persistent data residing on PVCs. We'll cover the uses cases and challenges for migration, and run through an example of using one of these migration tools.

The many uses of Kubernetes cross cluster migration of persistent data (DoK Day EU 2022) // Ryan Kaw 07:39 Share

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The many uses of Kubernetes cross cluster migration of persistent data (DoK Day EU 2022) // Ryan Kaw