Re-Think Storage – PernixData. Meet & greet with Frank Denneman

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Re-Thinking Storage by Virtualizing

Flash and RAM

Frank Denneman, Chief Technologist

PernixData

Traditional I/O path in virtual datacenters

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Scale out-compute using single storage array

Context based I/O inside host, loss of application identity outside host

Non integrated QOS throughout stack

Oversubscribed data-path

Solution: add more disks to array

Switch Switch

VM VM

ESXi Host

Storage Array

VM VM

ESXi Host

Flash placement


Server Array

Network

But flash performance is all about distance


Stage 1 Stage 2 Now

Industry development


Flash behind HBA Flash on PCIe

Flash on DIMMs

Flash-RAM convergence

RAM

Lightspeed Ludicrous speed

Million IOPS for 5K USD


Leveraging flash performance in your architecture


Insert

Flash

HereDiagram by Chad Sakac

© PernixData. All rights reserved.

ARCHITECTURE

OVERVIEW

PERNIXDATA FVP

PernixData FVP


Accelerating

application

read and write I/O

You are in control!


PernixData FVP clustered platform


Supports mobility at scale

ESXi Host

Flash

Device

ESXi Host

Flash

Device

VM

Remote flash accessFVP

(DRS)

Migration VM

Read

Storage Array

data

Write through policy


Write to Flash & Array

I/O complete after ack

of both resources

Primarily accelerating

subsequent reads

Offloads array & SAN of

Read I/O

Write back policy


Write to Flash then ack

Write to Array

transparent to

application

Read & Write

acceleration


Fault tolerance


FVP Fault Domains

Fault Domain

Blade Center 2

Fault Domain

Blade Center 3

Fault Domain

Blade Center 1

vSphere

Cluster

Storage Array

VMVM VM VMVM VM

Acceleration

resources

ESXi Host

5

Acceleration

resources

ESXi Host

6

AVM VM VMVM VM

Acceleration

resources

ESXi Host

3

Acceleration

resources

ESXi Host

4

VMVM VM VMVM VM

Acceleration

resources

ESXi Host

1

Acceleration

resources

ESXi Host

2

Peer host selection Peer host selection

FVP


INFRASTRUCTURE

ALLEVIATION


Accelerate VM = The most social thing you can do

8 Billion Reads didn’t reach primary storage

318 Terabytes of storage bandwidth not used

10 Billion Writes saw significantly low latency

Freeing up resources for other workloads

Hero numbers in 6 weeks time:


Datastore

writes

Application

performance

Uniform write patterns

Smooth out writes

Time release I/O

Reduce forced array cache flushes

Scale out


16 VMs running SQLIO

Work Profile: Series of sequential reads and writes at 8K, 16K, and

64K, then random reads and writes of same block size pattern

$2.5 million USD array (64 EFD’s, multiple TB of cache)

FVP+SAN

1.6 Million

IOPS

Array:

51000 IOPS


Offload your storage controller CPU

Setting up and maintaining data paths

Mirror writes (storage controller redundancy)

Data movement and data integrity

Maintaining RAID levels, calculating & writing parity data

Snapshots, Replication, Dedup, Compression

Multi-tiering algorithms

Running integrated management software

PernixData FVP: Recovering useable capacity


CPU at Max (~95%), over 200TB of stranded storage

FVP offload array utilization (IOPS and CPU) by 75%

Releasing Stranded capacity


TODAY’S DATACENTER

WORKLOADS

DEMANDS A

NEW ARCHITECTURE


Plan-able performance scale-out

Non disruptive performance scale out

Linked Compute + Storage performance growth

Future proof: new tech instantly usable

Decouple storage perfromance from capacity


VMVM VM VMVM VMVM

FVP

ESXi Host

Flash Device

ESXi Host

Flash Device

ESXi Host

Flash Device

Storage Array

VM VM

Performance

Capacity

+

Data services

Deterministic performance


Today’s possibilities


New gen. server media

…

FVP

+

32-192 TB RW acceleration

resource in 32 node cluster

250.000 IOPS per host

32 Million IOPS per cluster

Consistent sub millisecond latency

40Gb interconnects between hosts

An insurance policy for current and future workloads



Deterministic performance

Application performance

– Change perception of storage performance

– Consistent and predictable latency

Infrastructure alleviation

– Insurance policy for existing application performance levels

– Absorb any unknown workload without affecting current

workloads

Service offering

– Control which application gets performance


Questions?@frankdenneman

@pernixdata

Re-Think Storage – PernixData. Meet & greet with Frank Denneman

Technology

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