When DDAA is full, what happens to the buckets?

When the Data Flow Management (DDAA) reaches its capacity, the behavior of the buckets is designed to adhere to the data retention policies set in Splunk. In this case, when the storage limit is reached, older buckets are deleted to make room for new incoming data. This automatic management helps ensure that the system continues to operate efficiently without running out of storage space.

Under DDAA conditions, the deletion of buckets allows the Splunk environment to maintain performance and availability. This means that only the most relevant and recent data is kept, following the configured retention settings which govern how long data should be retained in the system. Other options do not align with how Splunk manages storage: archiving is not the primary function at this point, saving buckets indefinitely contradicts the data retention policy, and data compression, while it can occur, does not directly relate to the actions taken when storage is full.