This document discusses StorPool storage and its integration with OpenNebula. StorPool is a software-defined storage system used by managed service providers, cloud providers, and for private clouds. It has deep integrations with OpenNebula and other cloud management platforms. The document provides an overview of StorPool and how it can be used for both private and public clouds. It also demonstrates StorPool's performance and cost efficiency. Recent updates to the OpenNebula integration are highlighted.

1. StorPool & OpenNebula
@ OpenNebula TechDay Sofia 2018
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2. Boyan Krosnov
● Chief of Product
● Cloud architect
● "External technology"
● Previously service providers, networks, packet
processing (SDN)
● Algorithmic and low level optimizations :)
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3. StorPool
● Fast and efficient software-defined storage system
● Used by MSPs, Cloud service providers, Hosting
companies and in private clouds
● Started in 2011 to solve storage for cloud service
providers
● Clean slate design - scale-out, API-controlled,
end-to-end data integrity, CoW
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4. StorPool
● Most deployments are with KVM
○ some Xen, some VMWare, some Hyper-V
○ some bare metal / dedicated server
● Deep integrations into OpenNebula, OnApp,
OpenStack, CloudStack
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5. StorPool + OpenNebula
https://github.com/opennebula/addon-storpool/
Each image is a separate volume (LUN) in the storage
system.
Quick demo

6. New for last 12 months
● Import of *.VMDK(VMware) and *.VHDX (HyperV)
images from local path
● reserved.sh - tool to help tweaking the overcommitment
of host's CPU and RAM to address the use of cgroups
● alternate function for the 'VM snapshot' interface with
atomic VM disks snapshots (feature following StorPool's
development)
● Snapshots limiting - the addon will reject to create new
snapshots when predefined number is reached (separate
for disk snapshot and 'VM snapshot')
● Support co-existence of different OpenNebulas on same
StorPool cluster (Use case : production and staging
environments)

7. New for last 12 months
● Registration of a single disk from given VM snapshot as a
new image in the IMAGE datastore by the VM owner user
or oneadmin user.
● The oneadmin user can use the interface to import *any*
StorPool snapshot as a new image in the IMAGE
datastore
● vmTweakHypervEnlightenments.py - tool to do
additional tweaks to the VM's domain XML file before VM
deployment. HyperV enlightments, ioeventfd, virtio-scsi
nqueues.
● various other tweaks (like disabling kernel caching...)

9. Public and Private clouds
our experience
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10. Use-cases
● Private Cloud for SaaS (production)
● Private Cloud software development (test/dev)
● Public Cloud
● MSP

11. Use-cases
● Different requirements = different deployment
● Hyperconverged or stand-alone
● HDDs or SSDs or NVMe
● 10G or 25G
● Latest generation Xeons or E5 v2 from 2013

12. Hyper-converged: example hardware
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900 dedicated vCPUs, 3500 GB RAM in 3 RU
dual 10G networking
SATA SSD storage pool
$1000 per VM with 32GB RAM, 8 vCPUs

13. Hyper-converged: component selection
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14. Hyper-converged: component selection
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15. Modern server: 28-40 cores; 384GB+ RAM
5
-
15
%
Hyper-converged: Efficiency
StorPool takes 3 cores & 8 GB RAM
< 10% of compute node resources
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16. When hyper-converged
Hyperconverged:
● Green-field
● KVM virtualization
● Building pods / small availability zones
Stand-alone storage system:
● Retrofit
● Other hypervisors: Xen, VMWare, Hyper-V
● Requirements for independence of infrastructure (I don't
want an issue in my KVM environment to affect my
VMWare environment)
● Requirement for administrative boundary - e.g. additional
storage to dedicated server via iSCSI
● Building datacenter-scale infrastructure. Cost of high
bandwidth leaf-spine network (3x) justified

18. Demo #2
50 ㎲ writes!
$/IOPS -
<$15 000 hardware = 1M IOPS
$/GB -
> 30TB capacity 3x NVMe approx $1.90/GB
> 20 TB StorPool SSD-Hybrid approx $1.00/GB
84%16%

20. © 2018 StorPool. All rights reserved.
Boyan Krosnov
StorPool Storage
bk@storpool.com
www.storpool.com
@storpool
Thank you