- The history of multi-cluster Kubernetes
- How multi-cluster setups could affect data heavy workloads (such as multiple microservices backed by independent data stores)
- Managing multiple clusters
- Keeping the business functioning if a cluster goes down
- How to prepare for the coming “datapocalypse”
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