Such stateful actors are recovered by replaying stored changes to these actors from
The key concept behind Akka persistence is that only changes to an actor’s internal stateĪre persisted but never its current state directly (except for optional snapshots). Recovered when an actor is started, restarted after a crash, or migrated in a cluster. Multi-DC PersistenceĪkka persistence enables stateful actors to persist their internal state so that it can be One thing to be aware of is that Cluster Singleton and Cluster Sharding are per dataĬenter and not global, which is important when used with Akka Persistence as we will explainĪkka Multi-DC Clustering is part of the ordinary Akka Open-Source release. Gossip of the membership state is optimized and failure detection is more lenient across dataĬenters. Cluster membershipįor each data center can be managed independent of network partitions across the data centers. Many of the Akka Cluster features are aware of the data center boundaries. Up a large cluster into smaller groups of nodes for better scalability. It could also be used as a logical groupingįor other reasons, such as isolation of certain nodes to improve stability or splitting However, the grouping of nodes is not limited to the physical boundaries of data centers,Įven though that is the primary use case. Rate than communication between nodes in the same data center. The reason for making the Akka Cluster aware of data center boundaries is thatĬommunication across data centers typically has much higher latency and higher failure Therefore, it’s possible to make the Akka Cluster aware of data centers so that one AkkaĬluster can span multiple data centers and still be tolerant to network partitions.
Messaging internally is performance as well as ease of development and reasoning about Messaging because it was separated into several Akka Clusters. When deploying this service to multiple dataĬenters it would be inconvenient if the internal communication could not use ordinary actor
Messaging or the tools based on Akka Cluster. Service would be HTTP or a message broker, and not Akka Remoting or Cluster, but the internalĬommunication within the service that is running on several nodes would use ordinary actor We often recommend implementing a micro-service as one Akka Cluster. Balance the load over many servers, regions or availability zones.User proximity, in order to serve requests from a location near the user to provide better responsiveness.Redundancy to tolerate failures in one location and still be operational.There can be many reasons for using more than one data center, such as: Several exciting capabilities for multiple data centers have recently been added to Akka.
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