Redis Streams is a powerful data structure, allowing you to handle streams of messages or events with commands that allow efficient insertion, consumption, and other forms of processing. Scalability in the context of Redis Streams mainly depends on how effectively it can handle an increase in data volume and concurrent reads/writes.
There are several strategies to scale Redis Streams:
MAXLEN option, older entries get removed once the max length is reached.
Keep in mind that the effectiveness of these strategies strongly depends on your use case and specific workload. Often, the best results are achieved by combining these strategies. Also, remember that Redis offers built-in replication (for high availability) and supports automatic partitioning with Redis Cluster (for increased storage capacity and improved performance).
Redis Cluster does not directly support streams in terms of having a stream split across multiple nodes. Sharding logic to separate a stream across multiple nodes would have to be handled by your application.