Clustering and Distributed Data: The Winning Combination?

This presentation makes a powerful case for a combination of two Akka concepts - clustering and distributed data - to demonstrate how you can persist state across the cluster and therefore not need to worry about individual nodes going down for maintenance, or indeed for unforeseen reasons. We also deal with the fact that we might need to only be able to run one instance of an actor in a cluster, by introducing the concept of a cluster singleton.

We then go on to write a simple TFTP server in Akka, which runs in an Akka cluster and uses Akka Distributed Data to distribute client data. So any member of the cluster that receives a request for data is able to handle it independently.

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