Object Storage unlike file-systems is an ideal destination for logs and improve production support drastically with their access over S3 APIs. The Cache service can directly re-use the object storage as its log store. The store is limitless and has no maintenance. The time-series databases make progressive buckets as they fill events in each bucket and this can be done easily with object storage too. The namespace-bucket-object hierarchy is well suited for time-series data. There is no limit to the number of objects within a bucket and we can rollover buckets in the same hot-warm-cold manner that time series databases do. Moreover, with the data available in the object storage, it is easily accessible to all users for read over the http.  The only caveat is that some production support request may be made to accommodate separate object–storage for the persistence of objects in the cache from the object-storage for the persistence of logs. This is quite reasonable and may be accommodated on-premise or in the cloud depending on the worth of the data and the cost incurred. The log stores can be periodically trimmed as well. In addition, the entire querying stack for reading these entries, can be built on copies or selections of buckets and objects. More about saving logs and their indexes in object storage is available at : https://1drv.ms/w/s!Ashlm-Nw-wnWt3eeNpsNk1f3BZVM