MayaScale

RDMA or Standard TCP

MayaScale

Build powerful software defined distributed block storage solution with MayaScale. Consolidate direct attached NVMe resources into shared storage pool and provision flexible NVMe namespaces to clients demanding high performance with low latency. When finished the clients can return NVMe storage space back to storage pool. No more over-provisioning or stranded NVMe storage space as is the case with Direct Attached storage. The network agnostic solution uses RDMA for on-premises and standard TCP on cloud.

True NVMe device is visible to client using standard NVMe driver stack without need for any proprietary driver extensions.

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RDMA

  NVMeoF On-Premises

Configure and deploy NVMe over Fabrics SAN infrastructure at rack scale in your data center by pooling heterogeneous NVMe devices over RDMA capable interconnect. This includes ROCE, iWARP or Infiniband.

Cloud NVMeoF

  NVMeoF On-Cloud

Even on Cloud, experience NVMe over Fabrics using the standard TCP/IP protocol without need for any specialized RDMA hardware or SRIOV virtualization, but with a little latency penalty.

Benefits

  • Consolidate with centralized management of NVMe storage pool results in ease of use and effective storage utilization.
  • Provide NVMe device to clients when it is not possible to do so either due to lack of PCIe slots or limition of technology.
  • Applications benefit from high performance and low latency.

Features

  • High Availability in a 2 node Active-Active configuration
  • Easy to use and Manage with CLI or Web console
  • Thin provisioning
  • Additional data services: Synchronous mirroring, compression, deduplication on the client side.
  • Hybrid Cloud

Benefits

  • Not only separates storage from compute instances but also removes many onerous deployment restrictions. For example compute instances with locally attached SSDs cannot be stopped. Restart requires recreation of that compute instance.
  • Replicate ephemeral NVMe devices by setting HA pair and use like EBS at turbo performance of NVMe.

Features