This document discusses PernixData's software solution that decouples storage performance from capacity. It introduces PernixData's mission to lead a new era of server-side storage intelligence by increasing application performance without requiring new storage purchases. The software virtualizes flash and RAM resources across servers to provide a clustered data acceleration tier closer to VMs for dramatic performance gains without disrupting existing storage infrastructure.

1. © PernixData. All rights reserved.
Frank Brix Pedersen
Systems Engineer
frankbrix@pernixdata.com - Twitter: @frankbrix – www.vfrank.org
Proprietary and confidential
Re-Think Storage
Decouple Storage Performance From
Capacity with PernixData FVP™ Software

2. Traditional Storage Can’t Keep Up with Virtualization
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Limited network bandwidth
Storage controller
cycles not proportional
to capacity growth
Increased application density;
More random I/O
70% of VM Performance Issues Due to Storage Bottlenecks
• • •
Hypervisor HypervisorHypervisor

3. Time for Change
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Current State
High storage costs (expensive refreshes)
Wasted capacity
Storage not optimized for VMs
Desired State
Scale-out performance
Predictable costs
VM-aware
No change to existing data services
But, how?
Capacity
Performance
Data Services
Hypervisor

4. Hypervisor
PernixData’s Mission:
Leading a New Era of Server Side Storage Intelligence
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Increase application performance
without buying new storage…
…through revolutionary architecture
that decouples storage performance
from storage capacity
Virtualize more with the infrastructure you already have
PerformancePerformance
Capacity
Data Services
Performance

5. It as all about location
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6. Let’s take the scenic route
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Insert
Flash
Here
Or Insert
Flash
Here
Or use
RAM!

7. Location is key to performance
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This virtual machine experiences 0,08 millisecond latency for read
and write!!
0,08 ms
latency for
reads and
writes!!

8. Hypervisor
Performance
Hypervisor Hypervisor
• • •
A Strategic Infrastructure Platform
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Performance
Capacity
Data Services
FC, FCoE, iSCSI, NFS
Scale-Out
Performance
I/O
closer
to VMs
Hypervisor
Aggregate server RAM & flash into a data acceleration tier
Dramatic performance gains with existing environment

9. PernixData at a Glance
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Founded by storage and virtualization experts
– Poojan Kumar, CEO (Exadata co-founder; head VMware data group)
– Satyam Vaghani, CTO (VMware Storage CTO; creator of VVOLS, VAAI, VMFS)
Head Quarters in San Jose California.
– Silicon Valley
¨

10. HOW IS THIS
POSSIBLE?
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11. Hypervisor
100% Non-Disruptive
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No reboots, application rewrites or process changes
No changes to
VMs
Transparent to
storage
Any Server
Any Flash/RAM
Any Storage

12. FVP Software Overview
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FVP Host Extension
– Kernel Module
– vSphere 5.0, 5.1, 5.5
(Soon 6.0)
– Works with any
vSphere license edition
FVP Management
Server
– Windows 2008 or 2012
64bit
– MS SQL Database
FVP Plug-In for
– vSphere Client
– vSphere Web Client

13. Install in minutes
No change to existing infrastructure
Deploying PernixData FVP Software
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”We had our college intern install
FVP in just minutes. Shortly
thereafter, we were seeing a 6x
improvement in IOPS.”
”Wow, this @#% is really plug
and play... I did not have to
modify my VMs, storage or
network in any way.”

14. Flash & RAM Clustered Across Hosts
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Seamless VM operations
– vMotion
– DRS
– HA
– Snapshot
– vCloud Director
– SRM
Resilient and elastic layer of I/O acceleration
Hypervisor Hypervisor

15. Fault Tolerant Write Acceleration
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Improve performance of any application with full data protection
HypervisorHypervisor Hypervisor
Data Write
Copy 1 Copy 2
Write Back

16. © PernixData. All rights reserved. 16
ITALIAN
CUSTOMERS

17. Cloud Italia
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18. Cloud Italia – Decoupling Heaven
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VM
Observed
latency
Datastore
latency

19. Customer Case F.LLI Campagnolo
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Challenge
– High storage latency for virtual servers
Requirements
– Low storage latency
– Future Proofed
– Not another box in the datacenter
– Works with existing storage array and future
– VMware – aware solution
– Scalable

20. Campagnolo – Flash Cluster Overview
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More than 100
million IOPS
saved from
datastore

21. Offloading IOPS from the array to local flash
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802 IOPS served from flash and 18 IOPS served from datastore!
Datastore
IOPS 18
Local
acceleration
IOPS 802

22. Predictable Performance low latency
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VM
Observed
latency
Datastore
latency

23. Customer Case Campagnolo
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The Solution
– FVP Software on all hosts in the cluster
– Flash: Micron p420m, 700GB PCI-Express in each ESXi host
The Result
– Low read and write latency for all virtual machines
– More than 500.000 IOPS available
– Decoupled performance

24. DEMO
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25. © PernixData. All rights reserved.
RE-THINK STORAGE
@PernixData