StorPool, fast storage for fast times

At Storage Field Day 18 (SFD18) a couple of weeks ago, we heard from a new company, StorPool, that provides ultra fast software defined storage for MSPs and other cloud providers. You can watch the videos of their sessions here.

Didn’t know what to make of them at first, but when they started demoing their performance, we all woke up. They ran an all read and mixed read-write IO workload, that almost blew away any other proprietary/non-proprietary storage I’ve seen before.

[Updated 12Mar2019] What they were trying to achieve was to match the performance of an Windows Server 2019 Hyper V benchmark which hit 13.8 M IOPS using 12 nodes of 384GB DRAM, 1.5TB Optane DC persistent memory, 32TB (4X8TB) NVMe SSDs and Mellanox 25Gbps RDMA ethernet, with each VM running on the server that had the VHDX file stored.

Their demo showed 70:30 R:W random 4KB mixed workload and achieved 1M IOPS with a read latency of 140 microsec. and write latency of 100 microsec. (end to end at the VM level). [Updated 12Mar2019] They were able to match the performance of a published benchmark without the 1.5TB Optane memory, without the 25Gbps RDMA Ethernet and without having the VMs and its storage running on same nodes. They were able to show this performance running StorPool, KVM and CentOS 7 across 12 nodes running both VMs and storage services.

They also showed information on a pgbench benchmark, which I was not familiar with. The chart had response times on the horizontal axis and TPS performance on the vertical axis.

What’s even more amazing is that even with the great performance they still offer reasonable data services such as CoW snapshots, asynchronous replication (with changed block tracking), thin provisioning, end to end data integrity, and iSCSI support.

Their target market is mostly MSPs and large customers moving to the private cloud configurations. They mentioned deep support for OpenNebula, [updated 12Mar2019] OpenStack, OnApp and Kubernetes which means each virtual disk is a volume/LUN. They support VMware and Windows Server/Hyper-V through iSCSI.


The fact that they have a proprietary protocol is not that great but if they can generate the IOPS and response times they showed here with snapshot, thin provisioning and asynch replication, I’m ok with it. [Updated 12Mar2019]The fact that they were able to match the performance of the more expensive system with standard Ethernet, no Optane memory and all VMs running remote made a significant impression on me.

Want to learn more, check out these other discussions on StorPool (and other SFD18 vendors):

SFD18 – as intense as it gets by Max Mortillaro (@DarkAvenger), and

Podcast #3 review the SFD18 presenters by Chris M. Evans (@ChrisMEvans) and Matt Leib (@MBLeib).

[Updated 12Mar2019 Boyan Krosnov sent me an email indicating that the post had made some mistakes in the post which were corrected via updates above. Editors ]

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