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Docs: link to videos (#29799)

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Enno Runne 2020-11-09 11:36:39 +01:00 • committed by GitHub
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akka-docs/src/main/paradox/typed/cluster-sharding.md
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@ -196,7 +196,8 @@ in one rebalance round. The lower result of `rebalance-relative-limit` and `reba
An alternative allocation strategy is the @apidoc[ExternalShardAllocationStrategy] which allows
explicit control over where shards are allocated via the @apidoc[ExternalShardAllocation] extension.
This can be used, for example, to match up Kafka Partition consumption with shard locations.
This can be used, for example, to match up Kafka Partition consumption with shard locations. The video [How to co-locate Kafka Partitions with Akka Cluster Shards](https://akka.io/blog/news/2020/03/18/akka-sharding-kafka-video) explains a setup for it. Alpakka Kafka provides [an extension for Akka Cluster Sharding](https://doc.akka.io/docs/alpakka-kafka/current/cluster-sharding.html).
To use it set it as the allocation strategy on your `Entity`:

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akka-docs/src/main/paradox/typed/replicated-eventsourcing.md
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@ -38,7 +38,7 @@ to handle this.
To be able to use Replicated Event Sourcing the journal and snapshot store used is required to have specific support for the metadata that the replication needs (see @ref[Journal Support](#journal-support)).
The [Replicated Event Sourcing video](https://akka.io/blog/news/2020/09/09/replicated-event-sourcing-video)
is a good starting point describing the use cases and motivation for when to use Replicated Event Sourcing.
is a good starting point describing the use cases and motivation for when to use Replicated Event Sourcing. The second part, [Replicated Event Sourcing data modelling](https://akka.io/blog/news/2020/10/22/replicated-event-sourcing-data-modelling) guides you to find a suitable model for your use-case.
## Relaxing the single-writer principle for availability