Which bucket transition occurs when data exceeds the maximum size for a warm bucket?

When data exceeds the maximum size for a warm bucket, the correct transition is to the cold bucket. In the context of Splunk's data retention architecture, buckets are classified into different states—hot, warm, cold, frozen, and archived.

A warm bucket is essentially a space where data is indexed and still actively utilized. Once the warm bucket reaches its capacity limit, Splunk automatically transitions the data to a cold bucket to manage storage effectively and ensure the ongoing performance of data indexing and querying. Cold buckets hold older, less frequently accessed data while still remaining accessible for search operations.

The other transitions, such as frozen and archived, occur under different circumstances. For instance, frozen data typically means that it has surpassed the retention policies and is usually deleted or moved to a more permanent storage solution. However, that event happens later in the lifecycle, after being in cold storage. Therefore, in this case, when warm buckets reach their maximum data capacity, they transition directly to cold.