OpenNebula and StorPool: Building Powerful Clouds

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OpenNebula Project

A look at how OpenNebula and StorPool form a synergetic solution for building clouds

Logiciels

OpenNebula & StorPool
Building powerful clouds
1

Boyan Krosnov
● Chief of Product
● Cloud architect
● "External technology"
● Previously service providers, networks, packet
processing (SDN)
● Algorithms & data structures
2

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 3

StorPool
● Most deployments are with KVM
○ some Xen, some VMWare, some Hyper-V
○ some bare metal / dedicated server
● Deep integrations into OpenNebula, OpenStack,
OnApp, CloudStack, Kubernetes
4

Building a software-defined cloud
our experience
5

Why build a cloud?
For service provider (hosting, public cloud, MSP)
● control & customization
● Price/performance optimization
● Service quality
For web and mobile apps (production private cloud)
● control & customization
● cost optimization
● API/automation
For software developers (test/dev private cloud)
● Self-provisioning of resources (VMs, containers) developers
● API/automation
● Cost optimization and low latency
6

Contrast requirements
Best performance I can get at reasonable cost
(private cloud for web/mobile application)
vs.
Good performance and low $/GB for desired
performance level. Market leading, but not too
expensive. (service providers)
vs.
Lowest $/GB (e.g. archival use-case)

Latency
opspersecond
best service
lowest cost per
delivered resource
9

Latency
opspersecond
best service
lowest cost per
delivered resource
only pain
10

Latency
opspersecond
best service
lowest cost per
delivered resource
only pain
11
benchmarks

The OpenNebula ecosystem
Primary Developer
Solution
support
Users

Typical cloud infrastructure
1. Hyper-converged
2. Stand-alone storage system - rack-level or datacenter-level
integration
3. Other

Modern server: 28-40 cores; 384GB+ RAM
5 -
15
%
Hyper-converged: Efficiency
StorPool takes 3 cores & 8 GB RAM
< 10% of compute node resources 16

Hyper-converged: example
Private cloud for production public-facing application (high-end
VDI)
● Independent racks design. Each rack has…
● Top of rack switches, 2x 25GbE to each node
● 38 compute nodes
● Each with 2x 3.84 TB NVMe SSDs
● 88 TB usable space (3-way replication, checksums, CoW,
safety)
Strong case for all of
● SDS

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)

StorPool-OpenNebula
StorPool for OpenNebula/KVM
● Uses StorPool native driver in host OS
○ block devices in /dev/storpool/volname are raw disk
images for qemu/KVM
○ data management - e.g. create, delete, clone, resize
snapshot - API calls
● Implements a datastore driver for primary storage
○ https://github.com/opennebula/addon-storpool
OpenNebula/VMWare - iSCSI (scale-out, multipath) and VMFS

Set performance expectations
1M IOPS per node
https://storpool.com/blog/the-iops-challenge-is-over-storpool-
holds-the-new-world-record-13-8-mln-iops

Boyan Krosnov
StorPool Storage
bk@storpool.com
www.storpool.com
@storpool
Thank you
24

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