Major Description
Redis functions well as a temporary queue for event data en route to another data store. For example, Redis may be used to improve the fault-tolerance of a logging pipeline by serving as an intermediary as log events move to a separate storage layer (i.e. log4j2 - > Redis < - Logstash -> Elasticsearch).
As a result, event processing applications may wish to use Redis instead of Kafka as a message broker. We should add support for a RedisAppender to support this use case.
Relevant dev list thread: https://lists.apache.org/thread.html/4967cf3cd4db367ba563143ccd1438b7c53830671881eb692642b8d9@%3Cdev.logging.apache.org%3E
