I've been using MySQL on Ceph forever, and have been down this road before but it's been a couple of years so I wanted to see if there is anything new here. So the TL:DR version of this email - is there a good way to improve 16K write IOPs with a small number of threads? The OSDs themselves are idle so is this just a weakness in the algorithms or do ceph clients need some profiling? Or "other"? Basically, this is one of the worst possible Ceph workloads so it is fun to try to push the limits. I also happen have a MySQL instance that is reaching the write IOPs limit so this is also a last-ditch effort to keep it on Ceph. This cluster is as straightforward as it gets... 6 servers with 10 SSDs each, 100 Gb networking. I'm using size=3. During operations, the OSDs are more or less idle so I don't suspect any hardware limitations. MySQL has no parallelism so the number of threads and effective queue depth stay pretty low. Therefore, as a proxy for MySQL I use rados bench with 16K writes and 8 threads. The RBD actually gets about 2x this level - still not so great. I get about 2000 IOPs with this test: # rados bench -p volumes 10 write -t 8 -b 16K hints = 1 Maintaining 8 concurrent writes of 16384 bytes to objects of size 16384 for up to 10 seconds or 0 objects Object prefix: benchmark_data_fstosinfra-5_3652583 sec Cur ops started finished avg MB/s cur MB/s last lat(s) avg lat(s) 0 0 0 0 0 0 - 0 1 8 2050 2042 31.9004 31.9062 0.00247633 0.00390848 2 8 4306 4298 33.5728 35.25 0.00278488 0.00371784 3 8 6607 6599 34.3645 35.9531 0.00277546 0.00363139 4 7 8951 8944 34.9323 36.6406 0.00414908 0.00357249 5 8 11292 11284 35.257 36.5625 0.00291434 0.00353997 6 8 13588 13580 35.3588 35.875 0.00306094 0.00353084 7 7 15933 15926 35.5432 36.6562 0.00308388 0.0035123 8 8 18361 18353 35.8399 37.9219 0.00314996 0.00348327 9 8 20629 20621 35.7947 35.4375 0.00352998 0.0034877 10 5 23010 23005 35.9397 37.25 0.00395566 0.00347376 Total time run: 10.003 Total writes made: 23010 Write size: 16384 Object size: 16384 Bandwidth (MB/sec): 35.9423 Stddev Bandwidth: 1.63433 Max bandwidth (MB/sec): 37.9219 Min bandwidth (MB/sec): 31.9062 Average IOPS: 2300 Stddev IOPS: 104.597 Max IOPS: 2427 Min IOPS: 2042 Average Latency(s): 0.0034737 Stddev Latency(s): 0.00163661 Max latency(s): 0.115932 Min latency(s): 0.00179735 Cleaning up (deleting benchmark objects) Removed 23010 objects Clean up completed and total clean up time :7.44664 Are there any good options to improve this? It seems like the client side is the bottleneck since the OSD servers are at like 15% utilization. Thanks, Mark