Virtualization Technology News and Information
LINBIT Announces 14.8 Million IOPS World Record for Hyperconverged Storage
LINBIT, the force behind the open-source DRBD data replication software and LINSTOR software-defined storage (SDS), built a hyperconverged cluster that outperformed the previous performance record by 7.2 percent and reduced latency by 10 percent. Here are the results:
  • 14.8 million remote read IOPS
  • 10.6 million IOPS with 70/30 mixed read/write
  • 5.0 million synchronously replicated random write IOPS
  • 85μs synchronously replicated write latency

The 14.8 million read IOPS test toppled the record formerly held by proprietary software vendors, proving that Open Source software-defined storage provides enterprise class performance.

These exciting results use a container-based system with three-way synchronous replication for highly available persistent storage. The 12 server test cluster, consisting of standard off-the-shelf Intel servers, was provided through the Intel Data Center Builders program. The cluster is hyperconverged, meaning that the same servers are used to run the benchmark and to provide the underlying storage.

In a performance test, LINBIT measured 14.8 million IOPS. This is the highest storage performance reached by a hyperconverged system on the market, for this hardware basis. The test demonstrates that even a small LINSTOR storage system can provide millions of IOPS at microsecond latencies. For real world applications, LINBIT also tested 70/30 read/write workloads and the results of greater than 10 million IOPS correspond to outstanding application performance. More technical details are provided in their blog post about the setup.

LINBIT chose this setup because its competitors have published test results from equivalent systems. Previously Microsoft managed to reach 13.7 million IOPS, and Storpool marginally topped that with 13.8 million IOPS. LINBIT reached 14.8 million remote read IOPS - a significant jump of 7.2%. "Those performance numbers mark a milestone in the development of open-source SDS platforms. The numbers would scale up even further with a larger setup.

Published Thursday, January 23, 2020 10:24 AM by David Marshall
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