SlideShare a Scribd company logo
Charleston
VMUG
John Flisher
Technical Consultant Manager
eGroup
john.flisher@egroup-us.com
@hsilf
August 14, 2013
Agenda
 Commoditization of Hardware and the
Software Defined Millennium
 Virtual Environment Storage Design
Considerations
 The Worlds First Flash Hypervisor
 FVP Demo – Charlie Gautreaux
 Questions and Answers
Rate of Technology Change
 Ray Kurzweil
 Author of The Singularity is Near
Moore’s Law
Cost per Transistor Cycle
Kryder’s Law
VMware
 Founded in 1998
 Still the leader in Virtualization because it
was first to innovate in their space.
Data Domain
 Founded in 2001
 Proprietary Software Algorithm for target
based Deduplication appliances
 Acquired by EMC in 2009
 According to IDC, EMC in 2010 captured
64.2% share of the market for purpose-built
backup devices worldwide, including
mainframes.
Storage Design Considerations
for Virtual environments
 What problem are we trying to
solve?
Capacity
Performance
Storage Short Stroking
8 + 1 RAID
5
8 + 1 RAID
5
8 + 1 RAID
5
8 + 1 RAID
5
8 + 1 RAID
5
8 + 1 RAID
5
A different way to think about storage
Flash Virtualization Platform
What is FVP?
FVP is software to aggregate server-side flash
into a scale out data acceleration tier to provide
dramatic storage performance to unmodified
applications over existing storage systems
© PernixData. All rights reserved.
FVP Design Considerations
 It must be truly clustered and
compatible with cross-host functions
like vMotion, DRS, HA, etc.
 It must support write
acceleration, and in a manner that
doesn’t incur data loss on host
failures.
 It must not be a virtual
appliance.
FVP Design Considerations
 It must not require in-guest or
application level changes. This is
operationally un-scalable
 It must be flash technology
agnostic!
 It must work on per VM basis
Seamless Solution
 Application agnostic
 No drivers or changes to applications/VMs
 Not a static partitioning of server flash
 Storage infrastructure agnostic
 No change to existing underlying storage
infrastructure
 Compatible with existing storage-side data
services like snapshotting, replication, etc
 Flash technology agnostic
 Compatible with both SSD and PCIe flash, and
allows heterogeneous hosts
© PernixData. All rights reserved.
Say hello to a brand new data tier
© PernixData. All rights reserved.
DATA-IN-MOTION TIER
+ +PernixData
FVP
DATA-AT-REST TIER
+Data Services
PernixData Flash Virtualization Platform
1. Non-intrusive data acceleration
© PernixData. All rights reserved.
HypervisorHypervisor
PernixData Flash Virtualization Platform (FVP)
Storage system
Flash
Cluster
PernixData Flash Virtualization Platform
2. Transparent remote data access on VM
migration
© PernixData. All rights reserved.
HypervisorHypervisor
PernixData Flash Virtualization Platform (FVP)
Flash
Cluster
Storage system
PernixData Flash Virtualization Platform
3. Fault tolerant write acceleration
© PernixData. All rights reserved.
HypervisorHypervisor
PernixData Flash Virtualization Platform (FVP)
Delayed writes
{0, 1, 2} x data replicas
Flash
Cluster
Storage system
Existing Flash Solutions
 Traditional Array Based
 Many are rip-and-replace solutions
 Array flash is simply too far across the network
 Loss of application/VM identity
 Higher cost, lower scalability
 Virtual Appliances
 Significant operational overhead
 Limited to single host read only cache
 Higher latency: Inherent virtual machine overhead
 Virtual Machine Drivers (guest based)
 Need custom applications or in-VM changes
 Not clustered, typically breaks cross-host hypervisor functions
© PernixData. All rights reserved. CONFIDENTIAL
FVP 1.0 Datasheet
Get Pernix’d now – Trial signups at
pernixdata.com
© PernixData. All rights reserved.
Supported Hypervisors Any version of vSphere 5.0, vSphere 5.1
Supported Storage All FC, FCoE, iSCSI storage platforms on vSphere
HCL
Supported Flash Enterprise class PCIe and SSD flash devices
Supported Servers Cisco, Dell, HP, IBM, and others on vSphere HCL
Supported Modes Write-through
Write-back (includes fault tolerance for High
Availability)
Scale out
Does PernixData FVP scale linearly with hosts?
Yes! It beats SAN IOPS even in small host clusters
© PernixData. All rights reserved.
0
50000
100000
150000
200000
250000
300000
350000
2 host 4 host 6 host
SAN only
FVP + SATA2
SSD + SAN
FVP + SATA3
SSD + SAN
IOPS
FVP Latency advantage
© PernixData. All rights reserved.
0 1000 2000 3000 4000
Flash virtual appliance
8Gb FC SAN, NVRAM
8Gb FC SAN, all flash
FVP+remote flash/10GbE
FVP+Local flash
4KB read latency (us), no load
VDI with Write-through
© PernixData. All rights reserved.
10 write-through Win 7 Linked Clones running 80% Read, 80% Random
for 6 minutes [including boot up and shut down]
Database in Write-back
© PernixData. All rights reserved.
Summary
 PernixData’s Flash Virtualization Platform
provides enterprise-class, scale-out storage
performance in any virtualized datacenter
 Complimentary to existing or new storage
investment
 Can be deployed within minutes
 Provides instantaneous ROI
Download a Trial today!© PernixData. All rights reserved. CONFIDENTIAL
Demo
© PernixData. All rights reserved.
References
eGroup Blog – Software Defined Storage, A game Changer
http://www.egroup-us.com/2013/04/software-defined-storage-
a-game-changer/
PernixData Back Story – Building the worlds first Flash
Hypervisor
http://blog.pernixdata.com/the-pernixdata-backstory-building-
the-first-flash-hypervisor/
CRN – PernixData FVP clusters server flash to increase
storage performance in virtualized environments.
http://www.crn.com/news/storage/240159476/pernixdata-fvp-
clusters-server-flash-to-add-performance-in-virtualized-
environments.htm
Thank You

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Charleston SC VMUG 8/14/13

  • 1. Charleston VMUG John Flisher Technical Consultant Manager eGroup john.flisher@egroup-us.com @hsilf August 14, 2013
  • 2. Agenda  Commoditization of Hardware and the Software Defined Millennium  Virtual Environment Storage Design Considerations  The Worlds First Flash Hypervisor  FVP Demo – Charlie Gautreaux  Questions and Answers
  • 3. Rate of Technology Change  Ray Kurzweil  Author of The Singularity is Near
  • 7. VMware  Founded in 1998  Still the leader in Virtualization because it was first to innovate in their space.
  • 8. Data Domain  Founded in 2001  Proprietary Software Algorithm for target based Deduplication appliances  Acquired by EMC in 2009  According to IDC, EMC in 2010 captured 64.2% share of the market for purpose-built backup devices worldwide, including mainframes.
  • 9. Storage Design Considerations for Virtual environments  What problem are we trying to solve? Capacity Performance
  • 10. Storage Short Stroking 8 + 1 RAID 5 8 + 1 RAID 5 8 + 1 RAID 5 8 + 1 RAID 5 8 + 1 RAID 5 8 + 1 RAID 5
  • 11. A different way to think about storage Flash Virtualization Platform
  • 12. What is FVP? FVP is software to aggregate server-side flash into a scale out data acceleration tier to provide dramatic storage performance to unmodified applications over existing storage systems © PernixData. All rights reserved.
  • 13. FVP Design Considerations  It must be truly clustered and compatible with cross-host functions like vMotion, DRS, HA, etc.  It must support write acceleration, and in a manner that doesn’t incur data loss on host failures.  It must not be a virtual appliance.
  • 14. FVP Design Considerations  It must not require in-guest or application level changes. This is operationally un-scalable  It must be flash technology agnostic!  It must work on per VM basis
  • 15. Seamless Solution  Application agnostic  No drivers or changes to applications/VMs  Not a static partitioning of server flash  Storage infrastructure agnostic  No change to existing underlying storage infrastructure  Compatible with existing storage-side data services like snapshotting, replication, etc  Flash technology agnostic  Compatible with both SSD and PCIe flash, and allows heterogeneous hosts © PernixData. All rights reserved.
  • 16. Say hello to a brand new data tier © PernixData. All rights reserved. DATA-IN-MOTION TIER + +PernixData FVP DATA-AT-REST TIER +Data Services
  • 17. PernixData Flash Virtualization Platform 1. Non-intrusive data acceleration © PernixData. All rights reserved. HypervisorHypervisor PernixData Flash Virtualization Platform (FVP) Storage system Flash Cluster
  • 18. PernixData Flash Virtualization Platform 2. Transparent remote data access on VM migration © PernixData. All rights reserved. HypervisorHypervisor PernixData Flash Virtualization Platform (FVP) Flash Cluster Storage system
  • 19. PernixData Flash Virtualization Platform 3. Fault tolerant write acceleration © PernixData. All rights reserved. HypervisorHypervisor PernixData Flash Virtualization Platform (FVP) Delayed writes {0, 1, 2} x data replicas Flash Cluster Storage system
  • 20. Existing Flash Solutions  Traditional Array Based  Many are rip-and-replace solutions  Array flash is simply too far across the network  Loss of application/VM identity  Higher cost, lower scalability  Virtual Appliances  Significant operational overhead  Limited to single host read only cache  Higher latency: Inherent virtual machine overhead  Virtual Machine Drivers (guest based)  Need custom applications or in-VM changes  Not clustered, typically breaks cross-host hypervisor functions © PernixData. All rights reserved. CONFIDENTIAL
  • 21. FVP 1.0 Datasheet Get Pernix’d now – Trial signups at pernixdata.com © PernixData. All rights reserved. Supported Hypervisors Any version of vSphere 5.0, vSphere 5.1 Supported Storage All FC, FCoE, iSCSI storage platforms on vSphere HCL Supported Flash Enterprise class PCIe and SSD flash devices Supported Servers Cisco, Dell, HP, IBM, and others on vSphere HCL Supported Modes Write-through Write-back (includes fault tolerance for High Availability)
  • 22. Scale out Does PernixData FVP scale linearly with hosts? Yes! It beats SAN IOPS even in small host clusters © PernixData. All rights reserved. 0 50000 100000 150000 200000 250000 300000 350000 2 host 4 host 6 host SAN only FVP + SATA2 SSD + SAN FVP + SATA3 SSD + SAN IOPS
  • 23. FVP Latency advantage © PernixData. All rights reserved. 0 1000 2000 3000 4000 Flash virtual appliance 8Gb FC SAN, NVRAM 8Gb FC SAN, all flash FVP+remote flash/10GbE FVP+Local flash 4KB read latency (us), no load
  • 24. VDI with Write-through © PernixData. All rights reserved. 10 write-through Win 7 Linked Clones running 80% Read, 80% Random for 6 minutes [including boot up and shut down]
  • 25. Database in Write-back © PernixData. All rights reserved.
  • 26. Summary  PernixData’s Flash Virtualization Platform provides enterprise-class, scale-out storage performance in any virtualized datacenter  Complimentary to existing or new storage investment  Can be deployed within minutes  Provides instantaneous ROI Download a Trial today!© PernixData. All rights reserved. CONFIDENTIAL
  • 27. Demo © PernixData. All rights reserved.
  • 28. References eGroup Blog – Software Defined Storage, A game Changer http://www.egroup-us.com/2013/04/software-defined-storage- a-game-changer/ PernixData Back Story – Building the worlds first Flash Hypervisor http://blog.pernixdata.com/the-pernixdata-backstory-building- the-first-flash-hypervisor/ CRN – PernixData FVP clusters server flash to increase storage performance in virtualized environments. http://www.crn.com/news/storage/240159476/pernixdata-fvp- clusters-server-flash-to-add-performance-in-virtualized- environments.htm

Editor's Notes

  1. Electrons have less distance travel.
  2. In 1960 you could buy one transistor for a dollar. In 2002 you can buy 10 million.
  3. According to the report, if hard drives continue to progress at their current pace, then in 2020 a two-platter, 2.5-inch disk drive will be capable of storing more than 14 terabytes (TB) and will cost about $40. It also investigates 13 up-and-comingnon-volatile memory technologies to see whether one of them might outperform hard drives on a cost-per-TB basis in 2020.Mark Kryder
  4. No - How to leverage server flash for a specific use caseYes - How to leverage server flash as an indivisible part of virtual infrastructure
  5. 2 host is also similar to 2 cards/host