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© PernixData. All rights reserved.
© PernixData. All rights reserved.
Re-Thinking Storage by Virtualizing
Flash and RAM
Fr...
Traditional I/O path in virtual datacenters
© PernixData. All rights reserved. 2
Scale out-compute using
single storage ar...
Flash placement
© PernixData. All rights reserved. 3
Server Array
Network
But flash performance is all about distance
© PernixData. All rights reserved. 4
Stage 1 Stage 2 Now
Industry development
© PernixData. All rights reserved. 5
Flash behind HBA Flash on PCIe
Flash on DIMM...
Million IOPS for 5K USD
© PernixData. All rights reserved. 6
Leveraging flash performance in your architecture
© PernixData. All rights reserved. 7
Insert
Flash
Here
Diagram by Chad S...
© PernixData. All rights reserved.
ARCHITECTURE
OVERVIEW
PERNIXDATA FVP
PernixData FVP
© PernixData. All rights reserved. 9
Accelerating
application
read and write I/O
You are in control!
© PernixData. All rights reserved.
PernixData FVP clustered platform
© PernixData. All rights reserved.
Supports mobility at scale
ESXi Host
Flash
Device
ESXi Host
Flash
Device
VM
Remote flash...
Write through policy
© PernixData. All rights reserved. 12
Write to Flash & Array
I/O complete after ack
of both resources...
Write back policy
© PernixData. All rights reserved. 13
Write to Flash then ack
Write to Array
transparent to
application
...
© PernixData. All rights reserved.
Fault tolerance
© PernixData. All rights reserved.
FVP Fault Domains
Fault Domain
Blade Center 2
Fault Domain
Blade Center 3
Fault Domain
...
© PernixData. All rights reserved.
INFRASTRUCTURE
ALLEVIATION
© PernixData. All rights reserved.
Accelerate VM = The most social thing you can do
8 Billion Reads didn’t reach primary s...
© PernixData. All rights reserved.
Datastore
writes
Application
performance
Uniform write patterns
Smooth out writes
Time ...
Scale out
© PernixData. All rights reserved. 19
16 VMs running SQLIO
Work Profile: Series of sequential reads and writes a...
© PernixData. All rights reserved.
Offload your storage controller CPU
Setting up and maintaining data paths
Mirror writes...
PernixData FVP: Recovering useable capacity
© PernixData. All rights reserved. 21
CPU at Max (~95%), over 200TB of strande...
© PernixData. All rights reserved.
TODAY’S DATACENTER
WORKLOADS
DEMANDS A
NEW ARCHITECTURE
© PernixData. All rights reserved.
Plan-able performance scale-out
Non disruptive performance scale out
Linked Compute + S...
Decouple storage perfromance from capacity
© PernixData. All rights reserved. 24
VMVM VM VMVM VMVM
FVP
ESXi Host
Flash Dev...
Deterministic performance
© PernixData. All rights reserved. 25
Today’s possibilities
© PernixData. All rights reserved. 26
New gen. server media
…
FVP
+
32-192 TB RW acceleration
resour...
An insurance policy for current and future workloads
© PernixData. All rights reserved. 27
© PernixData. All rights reserved.
Deterministic performance
Application performance
– Change perception of storage perfor...
© PernixData. All rights reserved.
Questions?
@frankdenneman
@pernixdata
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Re-Think Storage – PernixData. Meet & greet with Frank Denneman

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Die Verwendung von Storage-Arrays wird allgemein als natürliches Design einer Virtualisierung angesehen. Die Verwendung dieser Storage-Arrays fürhrt allerdings oft zu Problemen mit der Speicherleistung. Flash-Speicher wird als Retter für die Speicherengpässe angesehen. Stellt sich nur noch die Frage, wo denn Flash am sinnvollsten eingesetz werden sollte?

Frank Denneman, Tech Evangelist und Author, sprach am VMware Storage Event vom 30. April 2015 über den Einsatz von Flash-Speicher. Ebenfalls stellte er in seiner Präsentation PernixData FVP™, mit der die Storage-Performance um ein vielfaches erhöht werden kann.

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

  1. 1. © PernixData. All rights reserved. © PernixData. All rights reserved. Re-Thinking Storage by Virtualizing Flash and RAM Frank Denneman, Chief Technologist PernixData
  2. 2. Traditional I/O path in virtual datacenters © PernixData. All rights reserved. 2 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
  3. 3. Flash placement © PernixData. All rights reserved. 3 Server Array Network
  4. 4. But flash performance is all about distance © PernixData. All rights reserved. 4
  5. 5. Stage 1 Stage 2 Now Industry development © PernixData. All rights reserved. 5 Flash behind HBA Flash on PCIe Flash on DIMMs Flash-RAM convergence RAM Lightspeed Ludicrous speed
  6. 6. Million IOPS for 5K USD © PernixData. All rights reserved. 6
  7. 7. Leveraging flash performance in your architecture © PernixData. All rights reserved. 7 Insert Flash Here Diagram by Chad Sakac
  8. 8. © PernixData. All rights reserved. ARCHITECTURE OVERVIEW PERNIXDATA FVP
  9. 9. PernixData FVP © PernixData. All rights reserved. 9 Accelerating application read and write I/O You are in control!
  10. 10. © PernixData. All rights reserved. PernixData FVP clustered platform
  11. 11. © PernixData. All rights reserved. Supports mobility at scale ESXi Host Flash Device ESXi Host Flash Device VM Remote flash access FVP (DRS) Migration VM Read Storage Array data
  12. 12. Write through policy © PernixData. All rights reserved. 12 Write to Flash & Array I/O complete after ack of both resources Primarily accelerating subsequent reads Offloads array & SAN of Read I/O
  13. 13. Write back policy © PernixData. All rights reserved. 13 Write to Flash then ack Write to Array transparent to application Read & Write acceleration
  14. 14. © PernixData. All rights reserved. Fault tolerance
  15. 15. © PernixData. All rights reserved. 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
  16. 16. © PernixData. All rights reserved. INFRASTRUCTURE ALLEVIATION
  17. 17. © PernixData. All rights reserved. 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:
  18. 18. © PernixData. All rights reserved. Datastore writes Application performance Uniform write patterns Smooth out writes Time release I/O Reduce forced array cache flushes
  19. 19. Scale out © PernixData. All rights reserved. 19 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
  20. 20. © PernixData. All rights reserved. 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
  21. 21. PernixData FVP: Recovering useable capacity © PernixData. All rights reserved. 21 CPU at Max (~95%), over 200TB of stranded storage FVP offload array utilization (IOPS and CPU) by 75% Releasing Stranded capacity
  22. 22. © PernixData. All rights reserved. TODAY’S DATACENTER WORKLOADS DEMANDS A NEW ARCHITECTURE
  23. 23. © PernixData. All rights reserved. Plan-able performance scale-out Non disruptive performance scale out Linked Compute + Storage performance growth Future proof: new tech instantly usable
  24. 24. Decouple storage perfromance from capacity © PernixData. All rights reserved. 24 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
  25. 25. Deterministic performance © PernixData. All rights reserved. 25
  26. 26. Today’s possibilities © PernixData. All rights reserved. 26 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
  27. 27. An insurance policy for current and future workloads © PernixData. All rights reserved. 27
  28. 28. © PernixData. All rights reserved. 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
  29. 29. © PernixData. All rights reserved. Questions? @frankdenneman @pernixdata

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