pernixdata - a new era of server side storage

Frank DennemanTech Evangelist

A new era of server side

storage

Agenda

History

PernixData FVP

Scaling your performance architecture

Restructuring data flows

© PernixData. All rights reserved.

PernixData

Founded in 2012 by virtualization experts

Poojan Kumar, Oracle Exadata Co-founder

Satyam Vaghani, VMware VMFS, VAAI, PSA founder

Strong virtualization and storage experience

VMware, EMC, Google, NetApp and many others…


A little bit of a personal history


ESX

ESXESX

ESX

ESX Cluste

r

DB Server

DB Server

Ethernet

Switch

SAN

switc

h

Ethernet

Switch

SAN

switc

h

Ethernet

Switch

DB Server

Success! Virtual Machine sprawl


ESX

ESX

ESX

ESXESX

ESX

ESX

ESX

ESX Cluste

r

Oracle

Standard

Cluster

Oracle

Enterprise ClusterStratix Cluster

Ethernet

Switch

SAN

switc

h

Ethernet

Switch

SAN

switc

h

Ethernet

Switch

More Bandwidth

More Spindles

New SANDirectors

Datacenter(1 Datacenter(2

Double the fun, twice the excitement!


Every day felt like a star trek episode


Problems are still present today

Distance from workload to resource

Shared environment

Loss of VM identity

Resulting in non-deterministic performance


Flash – Saviour of the Universe


Flash placement is context sensitive


Location of flash

Flash in array = better data services

Flash in server = better performance


Taking the scenic route


Image courtesy of Chad Sakac

Static server side flash?


PernixData FVPArchitecture overview


Decouple storage performance 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

Read & write acceleration of any VM workload

PernixData FVP clustered Platform

Hypervisor-based non-disruptive data acceleration


Supports mobility at scale

Server flash aggregation into cluster-wide pool


ESXi Host

Flash

Device

ESXi Host

Flash

Device

VM

Remote flash accessFVP

Migration VM

Read

Storage System

(DRS)

Data

Platform, not a point solution

Fault tolerant write acceleration


Tech Preview: Topology aware FVP


But how about failure domains?

Flash

Device

ESXi Host 1

Acceleration

Resource

ESXi Host 2 ESXi Host 4ESXi Host 3

FVPFlash

Device

ESXi Host 2

Flash

Device

ESXi Host 3

Flash

Device

ESXi Host 4

vSphere cluster

VM

data RWD

Replica write data

Topology aware FVP


What if your vSphere cluster spans multiple blade centers?

Or multiple sites?

Topology aware FVP


Align FVP clusters to fault domains with replica groups

Control replica placement

Tech Preview: Hello, I am FVP with DFTM


Distributed Fault Tolerant Memory

Historic point: FVP fault tolerance makes volatile

memory part of storage for the first time ever

Timing: Recent chipset advances make it right for most

workloads

Other facts about FVP with DFTM: Supports all FVP features and workloads

1TB RAM per host up to max vSphere cluster size

A FVP Cluster can mix RAM, Flash, MCS, etc

Ability to hot-expand and hot-shrink RAM usage per host


Scaling your performance architecture


Future proof scale out architecture

Non disruptive performance scale out

Linked Compute + Storage performance growth

Future proof: new tech instantly usable


Deterministic performance layer

Using point to point connections of Ethernet network

I/O remain in performance layer

Reduced load on SAN beneficial to all workloads


Tech Preview:

Adaptive network compression Narrows latency/throughput chasm between local and

remote FVP media

Adaptive

Real-time

Low CPU cost


64k, 2w*4oio, 100% seq wr

Penalty-less fault tolerance

Independent of 1GbE or 10GbE

Jetstress shows similar results 32k DBR, 36k DBW, 11k logW, 256k background RW

WB + 0 = 15048 transactional IOPS

WB + 1, 1GbE compressed = 13548 transactional IOPS


64k, 2w*4oio, 100% seq wr

WB + 0

2700 IOPS

WB + 1

1GbE

1700 IOPS

WB + 1

1GbE compressed

2700 IOPS

Customer success story

Issue: 10 TB of space available, still suffering from poor

SQL performance

PernixData FVP Results

94% lower average latency (30ms to 1.7ms)

12x more IOPS (compared to just storage array)

25,000,000+ IOs offloaded from storage array in 2 days!


Restructuring Data flows


Absorbing (write) I/O’s

Managing I/O streams

Be aware: FVP does not change amount of write Ios

Changing I/O pattern to smooth out writes

Time release I/O’s


Say hello to your new worst-case scenario


Next steps

Get some flash

Download the trial: pernixdata.com/trail

Start accelerating workload

No budget for flash or just want more?

Enter to win Kingston Enterprise drive

pernixdata.com/flash


Thanks!


Follow us on twitter: @PernixData | @FrankDenneman

pernixdata - a new era of server side storage

Technology