Abstract: Embodiments are directed to tiered data store with persistent layers. A write tier in the file system for storing in a file system. A value for a performance metric that corresponds to write requests to the file system may be predicted based on characteristics of the write requests such that the performance metric may be determined based on a plurality of interactions with the write tier. The predicted value that exceeds a threshold value of the performance metric may be employed to cause performance of further actions, including: queuing a portion of the write requests in a memory buffer based on the predicted value and the threshold value; combining the queued portion of the write requests into s; storing the data segments in the write tier such that a measured value of the performance metric may be less than the threshold value.

Abstract: Embodiments are directed to managing data in a file system that includes a plurality of storage nodes and a plurality of storage volumes such that each storage node may be a compute instance provided by a cloud computing environment (CCE) and each storage volume may be based on blobs provided by the CCE. Write requests that include write data may be provided. A lowest range of addresses in the storage volume may be determined for storing the write data. Buckets may be determined based on the range of addresses and the write data assigned to the buckets. If portions of the buckets remain unassigned, other data may be provided from a cache volume or the blobs. The write data and the other data may be written to the portion of the blobs.